Ahmed Awadallah

Orcid: 0000-0001-6426-3537

Affiliations:
  • Microsoft Research, Redmond, WA, USA
  • University of Michigan, Ann Arbor, MI, USA (PhD 2011)


According to our database1, Ahmed Awadallah authored at least 174 papers between 2006 and 2024.

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Bibliography

2024
CR-MoE: Consistent Routed Mixture-of-Experts for Scaling Contrastive Learning.
Trans. Mach. Learn. Res., 2024

OmniParser for Pure Vision Based GUI Agent.
CoRR, 2024

sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting.
CoRR, 2024

AgentInstruct: Toward Generative Teaching with Agentic Flows.
CoRR, 2024

Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF.
CoRR, 2024

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.
CoRR, 2024

Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences.
CoRR, 2024

Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents.
CoRR, 2024

Orca-Math: Unlocking the potential of SLMs in Grade School Math.
CoRR, 2024

Towards better Human-Agent Alignment: Assessing Task Utility in LLM-Powered Applications.
CoRR, 2024

Automatic Pair Construction for Contrastive Post-training.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Teaching Language Models to Hallucinate Less with Synthetic Tasks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Assessing and Verifying Task Utility in LLM-Powered Applications.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
Orca 2: Teaching Small Language Models How to Reason.
CoRR, 2023

EcoAssistant: Using LLM Assistant More Affordably and Accurately.
CoRR, 2023

Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation.
CoRR, 2023

Contrastive Post-training Large Language Models on Data Curriculum.
CoRR, 2023

SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference.
CoRR, 2023

Fed-ZERO: Efficient Zero-shot Personalization with Federated Mixture of Experts.
CoRR, 2023

Orca: Progressive Learning from Complex Explanation Traces of GPT-4.
CoRR, 2023

GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions.
CoRR, 2023

Transforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructions.
CoRR, 2023

Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback.
CoRR, 2023

Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference.
CoRR, 2023

An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models.
CoRR, 2023

Algorithmic Vibe in Information Retrieval.
Proceedings of the ACM Web Conference 2023, 2023

Axiomatic Preference Modeling for Longform Question Answering.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

PREME: Preference-based Meeting Exploration through an Interactive Questionnaire.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference.
Proceedings of the International Conference on Automated Machine Learning, 2023

Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

On Improving Summarization Factual Consistency from Natural Language Feedback.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions.
CoRR, 2022

AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers.
CoRR, 2022

IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022.
CoRR, 2022

AdaMix: Mixture-of-Adapter for Parameter-efficient Tuning of Large Language Models.
CoRR, 2022

Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners.
CoRR, 2022

AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models.
CoRR, 2022

Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Knowledge Infused Decoding.
Proceedings of the Tenth International Conference on Learning Representations, 2022

AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Leveraging Locality in Abstractive Text Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Boosting Natural Language Generation from Instructions with Meta-Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment.
Proceedings of the Computer Vision - ECCV 2022, 2022

Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models.
Proceedings of the Computer Vision - ECCV 2022, 2022

The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Summ<sup>N</sup>: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Pathologies of Pre-trained Language Models in Few-shot Fine-tuning.
Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021
Detecting Fake News With Weak Social Supervision.
IEEE Intell. Syst., 2021

Compositional Generalization for Natural Language Interfaces to Web APIs.
CoRR, 2021

CLUES: Few-Shot Learning Evaluation in Natural Language Understanding.
CoRR, 2021

What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression.
CoRR, 2021

NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment.
CoRR, 2021

LiST: Lite Self-training Makes Efficient Few-shot Learners.
CoRR, 2021

MetaXT: Meta Cross-Task Transfer between Disparate Label Spaces.
CoRR, 2021

WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding.
CoRR, 2021

XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation.
CoRR, 2021

Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Few-Shot Learning Evaluation in Natural Language Understanding.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021



Fairness via Representation Neutralization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Self-Training with Weak Supervision.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

NL-EDIT: Correcting Semantic Parse Errors through Natural Language Interaction.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Structure-Grounded Pretraining for Text-to-SQL.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Meta Self-training for Few-shot Neural Sequence Labeling.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing.
Proceedings of the 9th International Conference on Learning Representations, 2021

SummerTime: Text Summarization Toolkit for Non-experts.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

A Conditional Generative Matching Model for Multi-lingual Reply Suggestion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Say 'YES' to Positivity: Detecting Toxic Language in Workplace Communications.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

A Dataset and Baselines for Multilingual Reply Suggestion.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Meta Label Correction for Noisy Label Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Special issue on learning from user interactions.
Inf. Retr. J., 2020

Adaptive Self-training for Few-shot Neural Sequence Labeling.
CoRR, 2020

Uncertainty-aware Self-training for Text Classification with Few Labels.
CoRR, 2020

TinyMBERT: Multi-Stage Distillation Framework for Massive Multi-lingual NER.
CoRR, 2020

Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News.
CoRR, 2020

Understanding User Behavior For Document Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Learning with Weak Supervision for Email Intent Detection.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Early Detection of Fake News with Multi-source Weak Social Supervision.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Uncertainty-aware Self-training for Few-shot Text Classification.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Leveraging Structured Metadata for Improving Question Answering on the Web.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

An Empirical Study of Software Exceptions in the Field using Search Logs.
Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

Effects of Past Interactions on User Experience with Recommended Documents.
Proceedings of the CHIIR '20: Conference on Human Information Interaction and Retrieval, 2020

Analyzing Web Search Behavior for Software Engineering Tasks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Smart To-Do: Automatic Generation of To-Do Items from Emails.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

XtremeDistil: Multi-stage Distillation for Massive Multilingual Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
The Usage of Web Search for Software Engineering.
CoRR, 2019

Meta Label Correction for Learning with Weak Supervision.
CoRR, 2019

Distilling Transformers into Simple Neural Networks with Unlabeled Transfer Data.
CoRR, 2019

Exploring User Behavior in Email Re-Finding Tasks.
Proceedings of the World Wide Web Conference, 2019

Task Duration Estimation.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Characterizing and Predicting Email Deferral Behavior.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Task Intelligence Workshop @ WSDM 2019.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Task Completion Detection: A Study in the Context of Intelligent Systems.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Context-Aware Intent Identification in Email Conversations.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Learning About Work Tasks to Inform Intelligent Assistant Design.
Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, 2019

Exploring Email Triage: Challenges and Opportunities.
Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, 2019

Multi-Source Cross-Lingual Model Transfer: Learning What to Share.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Adversarial Training for Community Question Answer Selection Based on Multi-scale Matching.
CoRR, 2018

Identifying Task Boundaries in Digital Assistants.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

LearnIR: WSDM 2018 Workshop on Learning from User Interactions.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Characterizing and Supporting Question Answering in Human-to-Human Communication.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Natural Language Interfaces with Fine-Grained User Interaction: A Case Study on Web APIs.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

The Lifetime of Email Messages: A Large-Scale Analysis of Email Revisitation.
Proceedings of the 2018 Conference on Human Information Interaction and Retrieval, 2018

2017
Actionable Email Intent Modeling with Reparametrized RNNs.
CoRR, 2017

User Interaction Sequences for Search Satisfaction Prediction.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Characterizing and Predicting Enterprise Email Reply Behavior.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Building Natural Language Interfaces to Web APIs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Deep Sequential Models for Task Satisfaction Prediction.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Beyond Success Rate: Utility as a Search Quality Metric for Online Experiments.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Self-Es: The Role of Emails-to-Self in Personal Information Management.
Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval, 2017

2016
Detecting Good Abandonment in Mobile Search.
Proceedings of the 25th International Conference on World Wide Web, 2016

MSR System Description - TAC 2016 KBP Cold Start Slof Filling Track.
Proceedings of the 2016 Text Analysis Conference, 2016

Is This Your Final Answer?: Evaluating the Effect of Answers on Good Abandonment in Mobile Search.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Predicting User Satisfaction with Intelligent Assistants.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Activity Modeling in Email.
Proceedings of the NAACL HLT 2016, 2016

Learning to Account for Good Abandonment in Search Success Metrics.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Understanding User Satisfaction with Intelligent Assistants.
Proceedings of the 2016 ACM Conference on Human Information Interaction and Retrieval, 2016

2015
Automatic Online Evaluation of Intelligent Assistants.
Proceedings of the 24th International Conference on World Wide Web, 2015

Understanding and Predicting Graded Search Satisfaction.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Personalizing Search on Shared Devices.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Struggling and Success in Web Search.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Characterizing and Predicting Voice Query Reformulation.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Content Bias in Online Health Search.
ACM Trans. Web, 2014

A Random Walk-Based Model for Identifying Semantic Orientation.
Comput. Linguistics, 2014

From devices to people: attribution of search activity in multi-user settings.
Proceedings of the 23rd International World Wide Web Conference, 2014

Contextual and dimensional relevance judgments for reusable SERP-level evaluation.
Proceedings of the 23rd International World Wide Web Conference, 2014

Modeling dwell time to predict click-level satisfaction.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Struggling or exploring?: disambiguating long search sessions.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Modeling action-level satisfaction for search task satisfaction prediction.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Context-aware web search abandonment prediction.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Enhancing personalization via search activity attribution.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Comparing client and server dwell time estimates for click-level satisfaction prediction.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Machine-Assisted Search Preference Evaluation.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Supporting Complex Search Tasks.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Enhancing personalized search by mining and modeling task behavior.
Proceedings of the 22nd International World Wide Web Conference, 2013

Playing by the rules: mining query associations to predict search performance.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Toward self-correcting search engines: using underperforming queries to improve search.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Personalized models of search satisfaction.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Beyond clicks: query reformulation as a predictor of search satisfaction.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Extracting Signed Social Networks from Text.
Proceedings of TextGraphs@ACL 2012: the 7th Workshop on Graph-based Methods for Natural Language Processing, 2012

AttitudeMiner: Mining Attitude from Online Discussions.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Detecting Subgroups in Online Discussions by Modeling Positive and Negative Relations among Participants.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Task tours: helping users tackle complex search tasks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Identifying Roles in Social Networks using Linguistic Analysis.
PhD thesis, 2011

Improving Image Search based on User Created Communities
CoRR, 2011

The effect of linguistic constraints on the large scale organization of language
CoRR, 2011

A task level metric for measuring web search satisfaction and its application on improving relevance estimation.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Identifying the Semantic Orientation of Foreign Words.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010
Beyond DCG: user behavior as a predictor of a successful search.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

What's with the Attitude? Identifying Sentences with Attitude in Online Discussions.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Identifying Text Polarity Using Random Walks.
Proceedings of the ACL 2010, 2010

2009
Using Citations to Generate surveys of Scientific Paradigms.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Content Based Recommendation and Summarization in the Blogosphere.
Proceedings of the Third International Conference on Weblogs and Social Media, 2009

A case study of using geographic cues to predict query news intent.
Proceedings of the 17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2009

2008
Language Independent Text Correction using Finite State Automata.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

Geographic features in web search retrieval.
Proceedings of the 5th ACM Workshop On Geographic Information Retrieval, 2008

Tracking the Dynamic Evolution of Participants Salience in a Discussion.
Proceedings of the COLING 2008, 2008

2006
Unsupervised Information Extraction Approach Using Graph Mutual Reinforcement.
Proceedings of the EMNLP 2006, 2006


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