Junjie Ye

AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments ACL 2026 Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training ACL 2026 DARM: Distribution-Aware Reward Modeling by Alleviating Biases from Low Preference-Context Dependency Data ACL 2026 MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning AAAI 2026 VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training ACL 2026 What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study AAAI 2026 Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning AAAI 2025 Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels EMNLP 2025 Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition COLING 2025 CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios EMNLP 2025 Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric ACL 2025 TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use EMNLP 2025 ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios COLING 2025 ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use ACL 2025 Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning EMNLP 2024 Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback ICML 2024 LLM can Achieve Self-Regulation via Hyperparameter Aware Generation ACL 2024 OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024 PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling AAAI 2024 RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation CoRL 2024 RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning EMNLP 2024 ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages ACL 2024 TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities EMNLP 2024 Out-of-distribution Detection with Implicit Outlier Transformation ICLR 2023 PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework ICCV 2023 RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification EMNLP 2023 Causal Intervention Improves Implicit Sentiment Analysis COLING 2022 Noise-robust Cross-modal Interactive Learning with Text2Image Mask for Multi-modal Neural Machine Translation COLING 2022 The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design NeurIPS 2022 Unsupervised Domain Adaptation for Nighttime Aerial Tracking CVPR 2022 Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise AAAI 2021 HiFT: Hierarchical Feature Transformer for Aerial Tracking ICCV 2021 Noise against noise: stochastic label noise helps combat inherent label noise ICLR 2021 Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels AAAI 2021