Junjie Ye

Orcid: 0009-0004-0921-6323

Affiliations:

Fudan University, School of Computer Science, Shanghai, China

According to our database¹, Junjie Ye authored at least 53 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

LLMEval-Logic: A Solver-Verified Chinese Benchmark for Logical Reasoning of LLMs with Adversarial Hardening.

[BibT_eX]

[DOI]

CoRR, May, 2026

CL-bench Life: Can Language Models Learn from Real-Life Context?

[BibT_eX]

[DOI]

CoRR, April, 2026

FinToolSyn: A forward synthesis Framework for Financial Tool-Use Dialogue Data with Dynamic Tool Retrieval.

[BibT_eX]

[DOI]

CoRR, March, 2026

CCTU: A Benchmark for Tool Use under Complex Constraints.

[BibT_eX]

[DOI]

CoRR, March, 2026

MagicAgent: Towards Generalized Agent Planning.

[BibT_eX]

[DOI]

CoRR, February, 2026

DFPO: Scaling Value Modeling via Distributional Flow towards Robust and Generalizable LLM Post-Training.

[BibT_eX]

[DOI]

CoRR, February, 2026

CL-bench: A Benchmark for Context Learning.

[BibT_eX]

[DOI]

CoRR, February, 2026

Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control.

[BibT_eX]

[DOI]

CoRR, January, 2026

MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

WisPaper: Your AI Scholar Search Engine.

[BibT_eX]

[DOI]

CoRR, December, 2025

The Role of Entropy in Visual Grounding: Analysis and Optimization.

[BibT_eX]

[DOI]

CoRR, December, 2025

DVPO: Distributional Value Modeling-based Policy Optimization for LLM Post-Training.

[BibT_eX]

[DOI]

CoRR, December, 2025

Critique-RL: Training Language Models for Critiquing through Two-Stage Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, October, 2025

AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, September, 2025

Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments.

[BibT_eX]

[DOI]

CoRR, August, 2025

VRPO: Rethinking Value Modeling for Robust RL Training under Noisy Supervision.

[BibT_eX]

[DOI]

CoRR, August, 2025

SpeechRole: A Large-Scale Dataset and Benchmark for Evaluating Speech Role-Playing Agents.

[BibT_eX]

[DOI]

CoRR, August, 2025

Speech-Language Models with Decoupled Tokenizers and Multi-Token Prediction.

[BibT_eX]

[DOI]

CoRR, June, 2025

A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric.

[BibT_eX]

[DOI]

CoRR, February, 2025

Predicting Large Language Model Capabilities on Closed-Book QA Tasks Using Only Information Available Prior to Training.

[BibT_eX]

[DOI]

CoRR, February, 2025

Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training.

[BibT_eX]

[DOI]

CoRR, January, 2025

Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels.

[BibT_eX]

[DOI]

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

CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios.

[BibT_eX]

[DOI]

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

ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios.

[BibT_eX]

[DOI]

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

Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on 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

Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric.

[BibT_eX]

[DOI]

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

Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Empirical Insights on Fine-Tuning Large Language Models for Question-Answering.

[BibT_eX]

[DOI]

CoRR, 2024

SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance.

[BibT_eX]

[DOI]

CoRR, 2024

MetaRM: Shifted Distributions Alignment via Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2024

CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback.

[BibT_eX]

[DOI]

CoRR, 2024

ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios.

[BibT_eX]

[DOI]

CoRR, 2024

Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback.

[BibT_eX]

[DOI]

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

TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities.

[BibT_eX]

[DOI]

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

RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning.

[BibT_eX]

[DOI]

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

ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages.

[BibT_eX]

[DOI]

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

LLM can Achieve Self-Regulation via Hyperparameter Aware Generation.

[BibT_eX]

[DOI]

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

2023

RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification.

[BibT_eX]

[DOI]

CoRR, 2023

InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction.

[BibT_eX]

[DOI]

CoRR, 2023

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models.

[BibT_eX]

[DOI]

CoRR, 2023

How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification.

[BibT_eX]

[DOI]

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

2022

Sentiment-aware multimodal pre-training for multimodal sentiment analysis.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Causal Intervention Improves Implicit Sentiment Analysis.

[BibT_eX]

[DOI]

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

Junjie Ye

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...