Yi R. Fung

Affiliations:

Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
University of Illinois at Urbana Champaign (UIUC), Department of Computer Science, Urbana, IL, USA (PhD 2024)
University of Massachusetts, College of Information and Computer Sciences, Amherst, MA, USA

According to our database¹, Yi R. Fung authored at least 107 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Scalable Token-Level Hallucination Detection in Large Language Models.

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[DOI]

CoRR, May, 2026

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents.

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[DOI]

CoRR, May, 2026

On Stable Long-Form Generation: Benchmarking and Mitigating Length Volatility.

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[DOI]

CoRR, May, 2026

Entropy Centroids as Intrinsic Rewards for Test-Time Scaling.

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[DOI]

CoRR, April, 2026

GeoBrowse: A Geolocation Benchmark for Agentic Tool Use with Expert-Annotated Reasoning Traces.

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[DOI]

CoRR, April, 2026

XSkill: Continual Learning from Experience and Skills in Multimodal Agents.

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[DOI]

CoRR, March, 2026

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration?

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[DOI]

CoRR, March, 2026

AgentVista: Evaluating Multimodal Agents in Ultra-Challenging Realistic Visual Scenarios.

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[DOI]

CoRR, February, 2026

Supervised Fine-Tuning Needs to Unlock the Potential of Token Priority.

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[DOI]

CoRR, February, 2026

Dancing in Chains: Strategic Persuasion in Academic Rebuttal via Theory of Mind.

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[DOI]

Zhitao He

Zongwei Lyu

Yi R. Fung

CoRR, January, 2026

Empowering Reliable Visual-Centric Instruction Following in MLLMs.

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[DOI]

CoRR, January, 2026

AdaCtrl: Towards Adaptive and Controllable Reasoning via Difficulty-Aware Budgeting.

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[DOI]

Trans. Mach. Learn. Res., 2026

CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents.

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[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning Models.

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[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Learning Diverse Responses with Prefix-Conditioned Supervised Fine-Tuning.

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[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

CiteGuard: Faithful Citation Attribution for LLMs via Retrieval-Augmented Validation.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Scaling Human-Centric Trustworthy Foundation Model via Advanced Reasoning and Agentic Frameworks.

[BibT_eX]

[DOI]

Yi Ren Fung

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

EcomBench: Towards Holistic Evaluation of Foundation Agents in E-commerce.

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[DOI]

CoRR, December, 2025

MedTutor-R1: Socratic Personalized Medical Teaching with Multi-Agent Simulation.

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CoRR, December, 2025

Are Your Agents Upward Deceivers?

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[DOI]

CoRR, December, 2025

Environment Scaling for Interactive Agentic Experience Collection: A Survey.

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[DOI]

CoRR, November, 2025

CantoASR: Prosody-Aware ASR-LALM Collaboration for Low-Resource Cantonese.

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[DOI]

CoRR, November, 2025

SELF-REDRAFT: Eliciting Intrinsic Exploration-Exploitation Balance in Test-Time Scaling for Code Generation.

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[DOI]

CoRR, November, 2025

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL.

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[DOI]

CoRR, November, 2025

Reasoning Path Divergence: A New Metric and Curation Strategy to Unlock LLM Diverse Thinking.

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CoRR, October, 2025

Lean4Physics: Comprehensive Reasoning Framework for College-level Physics in Lean4.

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CoRR, October, 2025

Veri-R1: Toward Precise and Faithful Claim Verification via Online Reinforcement Learning.

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CoRR, October, 2025

Towards Self-Evolving Benchmarks: Synthesizing Agent Trajectories via Test-Time Exploration under Validate-by-Reproduce Paradigm.

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[DOI]

CoRR, October, 2025

From Superficial Outputs to Superficial Learning: Risks of Large Language Models in Education.

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[DOI]

Iris Delikoura

Yi R. Fung

Pan Hui

CoRR, September, 2025

UltraHorizon: Benchmarking Agent Capabilities in Ultra Long-Horizon Scenarios.

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[DOI]

CoRR, September, 2025

Video-LLMs with Temporal Visual Screening.

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[DOI]

CoRR, August, 2025

Diversity-Enhanced Reasoning for Subjective Questions.

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CoRR, July, 2025

CultureCLIP: Empowering CLIP with Cultural Awareness through Synthetic Images and Contextualized Captions.

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[DOI]

CoRR, July, 2025

Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers.

[BibT_eX]

[DOI]

CoRR, June, 2025

Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning Models.

[BibT_eX]

[DOI]

CoRR, June, 2025

MATP-BENCH: Can MLLM Be a Good Automated Theorem Prover for Multimodal Problems?

[BibT_eX]

[DOI]

CoRR, June, 2025

MedEBench: Revisiting Text-instructed Image Editing on Medical Domain.

[BibT_eX]

[DOI]

CoRR, June, 2025

RePPL: Recalibrating Perplexity by Uncertainty in Semantic Propagation and Language Generation for Explainable QA Hallucination Detection.

[BibT_eX]

[DOI]

CoRR, May, 2025

Tool Learning with Foundation Models.

[BibT_eX]

[DOI]

ACM Comput. Surv., April, 2025

V<sup>2</sup>R-Bench: Holistically Evaluating LVLM Robustness to Fundamental Visual Variations.

[BibT_eX]

[DOI]

CoRR, April, 2025

Alice: Proactive Learning with Teacher's Demonstrations for Weak-to-Strong Generalization.

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CoRR, April, 2025

Scaling Laws of Synthetic Data for Language Models.

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[DOI]

CoRR, March, 2025

VLM<sup>2</sup>-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues.

[BibT_eX]

[DOI]

CoRR, February, 2025

Group-Adaptive Threshold Optimization for Robust AI-Generated Text Detection.

[BibT_eX]

[DOI]

Minseok Jung

Cynthia Fuertes Panizo

CoRR, February, 2025

DocCHA: Towards LLM-Augmented Interactive Online diagnosis System.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2025

MimeQA: Towards Socially-Intelligent Nonverbal Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Spa: Scaling Graph Neural Network Training on Large graphs via Probabilistic splitting.

[BibT_eX]

[DOI]

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

Let's Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM's Math Capability.

[BibT_eX]

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Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

MedEBench: Diagnosing Reliability in Text-Guided Medical Image Editing.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary Awareness.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

End-to-End Optimization for Multimodal Retrieval-Augmented Generation via Reward Backpropagation.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Aligning LLMs with Individual Preferences via Interaction.

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[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement.

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Proceedings of the 31st International Conference on Computational Linguistics, 2025

PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intent.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Self-Correction is More than Refinement: A Learning Framework for Visual and Language Reasoning Tasks.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Unveiling the Lack of LVLM Robustness to Fundamental Visual Variations: Why and Path Forward.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

The Law of Knowledge Overshadowing: Towards Understanding, Predicting and Preventing LLM Hallucination.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

MMBoundary: Advancing MLLM Knowledge Boundary Awareness through Reasoning Step Confidence Calibration.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models.

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CoRR, 2024

From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models.

[BibT_eX]

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CoRR, 2024

LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge Augmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement.

[BibT_eX]

[DOI]

CoRR, 2024

Massively Multi-Cultural Knowledge Acquisition & LM Benchmarking.

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[DOI]

CoRR, 2024

If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents.

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[DOI]

CoRR, 2024

R-Tuning: Instructing Large Language Models to Say 'I Don't Know'.

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

CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets.

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

MACAROON: Training Vision-Language Models To Be Your Engaged Partners.

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

Schema-Guided Culture-Aware Complex Event Simulation with Multi-Agent Role-Play.

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[DOI]

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

Agenda-Driven Question Generation: A Case Study in the Courtroom Domain.

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[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning.

[BibT_eX]

[DOI]

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

Word Embeddings Are Steers for Language Models.

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

2023

R-Tuning: Teaching Large Language Models to Refuse Unknown Questions.

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CoRR, 2023

Enhanced Chart Understanding in Vision and Language Task via Cross-modal Pre-training on Plot Table Pairs.

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CoRR, 2023

CREATOR: Disentangling Abstract and Concrete Reasonings of Large Language Models through Tool Creation.

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CoRR, 2023

LM-Switch: Lightweight Language Model Conditioning in Word Embedding Space.

[BibT_eX]

[DOI]

CoRR, 2023

Tool Learning with Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2023

SmartBook: AI-Assisted Situation Report Generation.

[BibT_eX]

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CoRR, 2023

GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism.

[BibT_eX]

[DOI]

CoRR, 2023

NLUBot101 at SemEval-2023 Task 3: An Augmented Multilingual NLI Approach Towards Online News Persuasion Techniques Detection.

[BibT_eX]

[DOI]

Genglin Liu

Yi Fung

Heng Ji

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models.

[BibT_eX]

[DOI]

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

Defining a New NLP Playground.

[BibT_eX]

[DOI]

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

NORMSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DeepMaven: Deep Question Answering on Long-Distance Movie/TV Show Videos with Multimedia Knowledge Extraction and Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Enhanced Chart Understanding via Visual Language Pre-training on Plot Table Pairs.

[BibT_eX]

[DOI]

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

ADEPT: A DEbiasing PrompT Framework.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Knowledge Graph Comparative Reasoning for Fact Checking: Problem Definition and Algorithms.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2022

NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly.

[BibT_eX]

[DOI]

CoRR, 2022

A Weibo Dataset for the 2022 Russo-Ukrainian Crisis.

[BibT_eX]

[DOI]

Yi R. Fung

Heng Ji

CoRR, 2022

Cross-document Misinformation Detection based on Event Graph Reasoning.

[BibT_eX]

[DOI]

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

The Battlefront of Combating Misinformation and Coping with Media Bias.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge.

[BibT_eX]

[DOI]

Revanth Gangi Reddy

Sai Chetan Chinthakindi

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

A Zero-Shot Claim Detection Framework Using Question Answering.

[BibT_eX]

[DOI]

Revanth Gangi Reddy

Sai Chetan Chinthakindi

Yi R. Fung

Kevin Small

Heng Ji

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

NewsClaims: A New Benchmark for Claim Detection from News with Background Knowledge.

[BibT_eX]

[DOI]

Revanth Gangi Reddy

Sai Chetan Chinthakindi

CoRR, 2021

RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System.

[BibT_eX]

[DOI]

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

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation.

[BibT_eX]

[DOI]

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

KompaRe: A Knowledge Graph Comparative Reasoning System.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Learning from Lexical Perturbations for Consistent Visual Question Answering.

[BibT_eX]

[DOI]

Rogério Schmidt Feris

Kate Saenko

CoRR, 2020

2019