Yu Su

Orcid: 0000-0002-6649-4766

Affiliations:
  • Ohio State University, Department of Computer Science and Engineering, Columbus, OH, USA
  • University of California, Santa Barbara, CA, USA (PhD 2018)
  • Tsinghua University, China (former)


According to our database1, Yu Su authored at least 95 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Discovering clinical drug-drug interactions with known pharmacokinetics mechanisms using spontaneous reporting systems and electronic health records.
J. Biomed. Informatics, 2024

Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents.
CoRR, 2024

ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery.
CoRR, 2024

Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers.
CoRR, 2024

Fine-Tuning is Fine, if Calibrated.
CoRR, 2024

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark.
CoRR, 2024

VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images.
CoRR, 2024

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents.
CoRR, 2024

Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization.
CoRR, 2024

HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models.
CoRR, 2024

A Trembling House of Cards? Mapping Adversarial Attacks against Language Agents.
CoRR, 2024

Deductive Beam Search: Decoding Deducible Rationale for Chain-of-Thought Reasoning.
CoRR, 2024

Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs.
CoRR, 2024

GPT-4V(ision) is a Generalist Web Agent, if Grounded.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

TravelPlanner: A Benchmark for Real-World Planning with Language Agents.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

AgentBench: Evaluating LLMs as Agents.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

BioCLIP: A Vision Foundation Model for the Tree of Life.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dual-View Visual Contextualization for Web Navigation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

When is Tree Search Useful for LLM Planning? It Depends on the Discriminator.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Multimodal Question Answering for Unified Information Extraction.
CoRR, 2023

Mind2Web: Towards a Generalist Agent for the Web.
CoRR, 2023

Adaptive Chameleon or Stubborn Sloth: Unraveling the Behavior of Large Language Models in Knowledge Clashes.
CoRR, 2023

Memorization for Good: Encryption with Autoregressive Language Models.
CoRR, 2023

Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mind2Web: Towards a Generalist Agent for the Web.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows.
Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2023

Automatic Evaluation of Attribution by Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Solving the Right Problem is Key for Translational NLP: A Case Study in UMLS Vocabulary Insertion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Error Detection for Text-to-SQL Semantic Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Retrieve-and-Read Framework for Knowledge Graph Link Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Biomedical Language Models are Robust to Sub-optimal Tokenization.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Privacy-Preserving Domain Adaptation of Semantic Parsers.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Few-shot In-context Learning on Knowledge Base Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Text-to-SQL Error Correction with Language Models of Code.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
Bootstrapping a User-Centered Task-Oriented Dialogue System.
CoRR, 2022

When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Knowledge Base Question Answering: A Semantic Parsing Perspective.
Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

Bridging the Generalization Gap in Text-to-SQL Parsing with Schema Expansion.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

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

Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Detecting Drug-Drug Interactions in COVID-19 Patients.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

ReasonBERT: Pre-trained to Reason with Distant Supervision.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Systematic Investigation of KB-Text Embedding Alignment at Scale.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Task-Oriented Dialogue as Dataflow Synthesis.
Trans. Assoc. Comput. Linguistics, 2020

Document Classification for COVID-19 Literature.
CoRR, 2020

An Imitation Game for Learning Semantic Parsers from User Interaction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Document Classification for COVID-19 Literature.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Logical Natural Language Generation from Open-Domain Tables.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

HierCon: Hierarchical Organization of Technical Documents Based on Concepts.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Event-Triggered Stochastic Control via Constrained Quantization.
Proceedings of the Data Compression Conference, 2019

Global Textual Relation Embedding for Relational Understanding.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Towards Democratizing Data Science with Natural Language Interfaces.
PhD thesis, 2018

Algorithms for Optimal Control with Fixed-Rate Feedback.
CoRR, 2018

First Workshop on Knowledge Base Construction, Mining and Reasoning.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 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

Unsupervised Neural Categorization for Scientific Publications.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Global Relation Embedding for Relation Extraction.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Concept Mining via Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

What It Takes to Achieve 100 Percent Condition Accuracy on WikiSQL.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

XL-NBT: A Cross-lingual Neural Belief Tracking Framework.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

DialSQL: Dialogue Based Structured Query Generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
An End-to-End Deep Framework for Answer Triggering with a Novel Group-Level Objective.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Recovering Question Answering Errors via Query Revision.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Cross-domain Semantic Parsing via Paraphrasing.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

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

Algorithms for optimal control with fixed-rate feedback.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Table Cell Search for Question Answering.
Proceedings of the 25th International Conference on World Wide Web, 2016

A Fast Kernel for Attributed Graphs.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Improving Semantic Parsing via Answer Type Inference.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

On Generating Characteristic-rich Question Sets for QA Evaluation.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
Exploiting Relevance Feedback in Knowledge Graph Search.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2013
On the validity of geosocial mobility traces.
Proceedings of the Twelfth ACM Workshop on Hot Topics in Networks, 2013


  Loading...