Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

RMB: Comprehensively benchmarking reward models in LLM alignment.

[BibT_eX]

[DOI]

Enyu Zhou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Toward Optimal LLM Alignments Using Two-Player Games.

[BibT_eX]

[DOI]

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

LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation.

[BibT_eX]

[DOI]

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

TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use.

[BibT_eX]

[DOI]

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

LoRACoE: Improving Large Language Model via Composition-based LoRA Expert.

[BibT_eX]

[DOI]

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

Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations.

[BibT_eX]

[DOI]

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

Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning.

[BibT_eX]

[DOI]

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

Distill Visual Chart Reasoning Ability from LLMs to MLLMs.

[BibT_eX]

[DOI]

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

Are LLMs Rational Investors? A Study on the Financial Bias in LLMs.

[BibT_eX]

[DOI]

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

PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts.

[BibT_eX]

[DOI]

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

ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use.

[BibT_eX]

[DOI]

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

AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments.

[BibT_eX]

[DOI]

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

CritiQ: Mining Data Quality Criteria from Human Preferences.

[BibT_eX]

[DOI]

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

Multi-Programming Language Sandbox for LLMs.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

Better Process Supervision with Bi-directional Rewarding Signals.

[BibT_eX]

[DOI]

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

2024

Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision.

[BibT_eX]

[DOI]

CoRR, 2024

Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling.

[BibT_eX]

[DOI]

CoRR, 2024

AgentGym: Evolving Large Language Model-based Agents across Diverse Environments.

[BibT_eX]

[DOI]

CoRR, 2024

EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback.

[BibT_eX]

[DOI]

CoRR, 2024

MouSi: Poly-Visual-Expert Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Secrets of RLHF in Large Language Models Part II: Reward Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models.

[BibT_eX]

[DOI]

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

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning.

[BibT_eX]

[DOI]

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

Improving Generalization of Alignment with Human Preferences through Group Invariant Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data.

[BibT_eX]

[DOI]

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

Reward Modeling Requires Automatic Adjustment Based on Data Quality.

[BibT_eX]

[DOI]

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

Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning.

[BibT_eX]

[DOI]

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

ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks.

[BibT_eX]

[DOI]

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

Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals.

[BibT_eX]

[DOI]

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

RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions.

[BibT_eX]

[DOI]

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

LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin.

[BibT_eX]

[DOI]

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

StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback.

[BibT_eX]

[DOI]

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

2023

LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment.

[BibT_eX]

[DOI]

CoRR, 2023

TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

The Rise and Potential of Large Language Model Based Agents: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Secrets of RLHF in Large Language Models Part I: PPO.

[BibT_eX]

[DOI]

CoRR, 2023

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement.

[BibT_eX]

[DOI]

CoRR, 2023

RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms.

[BibT_eX]

[DOI]

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

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement.

[BibT_eX]

[DOI]

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

Characterizing the Impacts of Instances on Robustness.

[BibT_eX]

[DOI]

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

Connectivity Patterns are Task Embeddings.

[BibT_eX]

[DOI]

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

2022

Efficient Adversarial Training with Robust Early-Bird Tickets.

[BibT_eX]

[DOI]

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

Zhiheng Xi

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