Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Position: Do pretrained Transformers Learn In-Context by Gradient Descent?

[BibT_eX]

[DOI]

Lingfeng Shen

Aayush Mishra

Daniel Khashabi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Trickle-down Impact of Reward Inconsistency on RLHF.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

"According to . . . ": Prompting Language Models Improves Quoting from Pre-Training Data.

[BibT_eX]

[DOI]

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

GEAR: Augmenting Language Models with Generalizable and Efficient Tool Resolution.

[BibT_eX]

[DOI]

Yining Lu

Haoping Yu

Daniel Khashabi

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

RORA: Robust Free-Text Rationale Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

[BibT_eX]

[DOI]

Bartlomiej Bojanowski

Christopher D. Manning

Daniel Moseguí González

Eunice Engefu Manyasi

Evgenii Zheltonozhskii

Fanyue Xia

Fatemeh Siar

Fernando Martínez-Plumed

Giambattista Parascandolo

Giorgio Mariani

Gloria Wang

Gonzalo Jaimovitch-López

Jaime Fernández Fisac

Jascha Sohl-Dickstein

José Hernández-Orallo

Karthik Gopalakrishnan

Lidia Contreras Ochando

Louis-Philippe Morency

María José Ramírez-Quintana

Michael I. Ivanitskiy

Neta Gur-Ari Krakover

Nitish Shirish Keskar

Pablo Antonio Moreno Casares

Pegah Alipoormolabashi

Shyamolima (Shammie) Debnath

Sneha Priscilla Makini

Yadollah Yaghoobzadeh

Trans. Mach. Learn. Res., 2023

Do pretrained Transformers Really Learn In-context by Gradient Descent?

[BibT_eX]

[DOI]

Lingfeng Shen

Aayush Mishra

Daniel Khashabi

CoRR, 2023

The Trickle-down Impact of Reward (In-)consistency on RLHF.

[BibT_eX]

[DOI]

CoRR, 2023

Generating Sequences by Learning to Self-Correct.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Representation Projection Invariance Mitigates Representation Collapse.

[BibT_eX]

[DOI]

Anastasia Razdaibiedina

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Self-Instruct: Aligning Language Models with Self-Generated Instructions.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Self-Instruct: Aligning Language Model with Self Generated Instructions.

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[DOI]

CoRR, 2022

When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories.

[BibT_eX]

[DOI]

CoRR, 2022

Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks.

[BibT_eX]

[DOI]

CoRR, 2022

UnifiedQA-v2: Stronger Generalization via Broader Cross-Format Training.

[BibT_eX]

[DOI]

Daniel Khashabi

Yeganeh Kordi

Hannaneh Hajishirzi

CoRR, 2022

COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Time Waits for No One! Analysis and Challenges of Temporal Misalignment.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics.

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[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts.

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[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ProsocialDialog: A Prosocial Backbone for Conversational Agents.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Cross-Task Generalization via Natural Language Crowdsourcing Instructions.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Hey AI, Can You Solve Complex Tasks by Talking to Agents?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Reframing Instructional Prompts to GPTk's Language.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

ParsiNLU: A Suite of Language Understanding Challenges for Persian.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2021

Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2021

PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts.

[BibT_eX]

[DOI]

CoRR, 2021

Learning to Solve Complex Tasks by Talking to Agents.

[BibT_eX]

[DOI]

CoRR, 2021

Reframing Instructional Prompts to GPTk's Language.

[BibT_eX]

[DOI]

CoRR, 2021

Natural Instructions: Benchmarking Generalization to New Tasks from Natural Language Instructions.

[BibT_eX]

[DOI]

CoRR, 2021

Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge.

[BibT_eX]

[DOI]

Sumithra Bhakthavatsalam

CoRR, 2021

GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation.

[BibT_eX]

[DOI]

CoRR, 2021

Findings of the 2021 Conference on Machine Translation (WMT21).

[BibT_eX]

[DOI]

Proceedings of the Sixth Conference on Machine Translation, 2021

Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

GooAQ: Open Question Answering with Diverse Answer Types.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

UnQovering Stereotyping Biases via Underspecified Questions.

[BibT_eX]

[DOI]

CoRR, 2020

UnifiedQA: Crossing Format Boundaries With a Single QA System.

[BibT_eX]

[DOI]

CoRR, 2020

Natural Perturbation for Robust Question Answering.

[BibT_eX]

[DOI]

Daniel Khashabi

Tushar Khot

Ashish Sabharwal

CoRR, 2020

Evaluating NLP Models via Contrast Sets.

[BibT_eX]

[DOI]

CoRR, 2020

From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project.

[BibT_eX]

[DOI]

Sumithra Bhakthavatsalam

Dirk Groeneveld

Michal Guerquin

Michael Schmitz

AI Mag., 2020

TransOMCS: From Linguistic Graphs to Commonsense Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

UNQOVERing Stereotypical Biases via Underspecified Questions.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

UnifiedQA: Crossing Format Boundaries With a Single QA System.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

More Bang for Your Buck: Natural Perturbation for Robust Question Answering.

[BibT_eX]

[DOI]

Daniel Khashabi

Tushar Khot

Ashish Sabharwal

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Evaluating Models' Local Decision Boundaries via Contrast Sets.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Temporal Common Sense Acquisition with Minimal Supervision.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Not All Claims are Created Equal: Choosing the Right Approach to Assess Your Hypotheses.

[BibT_eX]

[DOI]

CoRR, 2019

Reasoning-Driven Question-Answering for Natural Language Understanding.

[BibT_eX]

[DOI]

Daniel Khashabi

CoRR, 2019

On the Capabilities and Limitations of Reasoning for Natural Language Understanding.

[BibT_eX]

[DOI]

CoRR, 2019

Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

PerspectroScope: A Window to the World of Diverse Perspectives.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

CogCompNLP: Your Swiss Army Knife for NLP.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Zero-Shot Open Entity Typing as Type-Compatible Grounding.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Question Answering as Global Reasoning Over Semantic Abstractions.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Parisa Kordjamshidi

Sameer Singh

Daniel Khashabi

Christos Christodoulopoulos

Mark Sammons

Saurabh Sinha

Dan Roth

CoRR, 2017

Learning What is Essential in Questions.

[BibT_eX]

[DOI]

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

2016

EDISON: Feature Extraction for NLP, Simplified.

[BibT_eX]

[DOI]

Mark Sammons

Christos Christodoulopoulos

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Question Answering via Integer Programming over Semi-Structured Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Better call Saul: Flexible Programming for Learning and Inference in NLP.

[BibT_eX]

[DOI]

Parisa Kordjamshidi

Daniel Khashabi

Christos Christodoulopoulos

Bhargav Mangipudi

Sameer Singh

Dan Roth

Proceedings of the COLING 2016, 2016

Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Clustering With Side Information: From a Probabilistic Model to a Deterministic Algorithm.

[BibT_eX]

[DOI]

CoRR, 2015

Online Learning with Adversarial Delays.

[BibT_eX]

[DOI]

Kent Quanrud

Daniel Khashabi

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Solving Hard Coreference Problems.

[BibT_eX]

[DOI]

Haoruo Peng

Daniel Khashabi

Dan Roth

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014

Joint Demosaicing and Denoising via Learned Nonparametric Random Fields.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2014

2013

Heteroscedastic Relevance Vector Machine

[BibT_eX]