Junjie Ye
34 papers · 2021–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (10) π Academic Marathon (5)
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Academic Marathon
(5)
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Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(62)
π₯
Mega-Team
(22)
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Grand Slam
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Dynamic Duo
(14)
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Topic Evolution
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Keyword Collector
(127)
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Unstoppable
(5)
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Prolific Year
(9)
β
The Questioner
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Century Club
(28)
Conferences
ACL (8)
AAAI (7)
EMNLP (7)
COLING (4)
ICCV (2)
ICLR (2)
CORL (1)
CVPR (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
large language model
(11)
reinforcement learning
(6)
tool learning
(4)
benchmark evaluation
(3)
reinforcement learning from human feedback
(3)
reward model
(3)
language model
(3)
aerial tracking
(2)
class-conditional noise
(2)
function calling
(2)
domain adaptation
(2)
tool use
(2)
label noise
(2)
preference alignment
(2)
object tracking
(2)
supervised fine-tuning
(2)
instruction tuning
(2)
preference learning
(1)
sequential decision making
(1)
model selection
(1)
Papers
DARM: Distribution-Aware Reward Modeling by Alleviating Biases from Low Preference-Context Dependency Data
ACL 2026
AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments
ACL 2026
MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning
AAAI 2026
Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training
ACL 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
Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric
ACL 2025
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition
COLING 2025
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
COLING 2025
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use
EMNLP 2025
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
CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios
EMNLP 2025
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use
ACL 2025
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning
EMNLP 2024
RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation
CORL 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
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages
ACL 2024
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation
ACL 2024
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
EMNLP 2024
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
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
The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design
NIPS 2022
Unsupervised Domain Adaptation for Nighttime Aerial Tracking
CVPR 2022
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
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
AAAI 2021
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
AAAI 2021
Noise against noise: stochastic label noise helps combat inherent label noise
ICLR 2021
HiFT: Hierarchical Feature Transformer for Aerial Tracking
ICCV 2021