Zhuoran Jin

According to our database1, Zhuoran Jin authored at least 36 papers between 2021 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
RULE: Reinforcement UnLEarning Achieves Forget-Retain Pareto Optimality.
CoRR, June, 2025

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos.
CoRR, June, 2025

FinRAGBench-V: A Benchmark for Multimodal RAG with Visual Citation in the Financial Domain.
CoRR, May, 2025

Prompt robust large language model for Chinese medical named entity recognition.
Inf. Process. Manag., 2025

DTELS: Towards Dynamic Granularity of Timeline Summarization.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

A Troublemaker with Contagious Jailbreak Makes Chaos in Honest Towns.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
AWeCita: Generating Answer with Appropriate and Well-grained Citations Using LLMs.
Data Intell., 2024

RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment.
CoRR, 2024

One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models.
CoRR, 2024

Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models.
CoRR, 2024

SimuCourt: Building Judicial Decision-Making Agents with Real-world Judgement Documents.
CoRR, 2024

RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

MULFE: A Multi-Level Benchmark for Free Text Model Editing.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Alignment Precedes Fusion: Open-Vocabulary Named Entity Recognition as Context-Type Semantic Matching.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021
CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021


  Loading...