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Conferences
Jingang Wang
43 papers at tracked venues · 28 at CORE A* · active 2024–2026
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Venues
ACL
×16
EMNLP
×14
AAAI
×7
NeurIPS
×3
ICLR
×2
NAACL
×1
Frequent coauthors
Xuemiao Zhang
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Hexiang Tan
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Zhengyu Chen
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Siqi Wang
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Xinyu Liu
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Ying Mo
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Yaoyuan Liang
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Yejie Wang
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Zhuocheng Gong
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Shiyu Liu
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Yuchun Fan
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Junhao Ruan
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Papers
BAPO: Boundary-Aware Policy Optimization for Reliable Agentic Search
ACL 2026
·
Shiyu Liu
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BaseCal: Unsupervised Confidence Calibration via Base Model Signals
ACL 2026
·
Hexiang Tan
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From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling
AAAI 2026
·
Zhengyu Chen
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LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance
ACL 2026
·
Yuchun Fan
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Large-Scale Diverse Synthesis for Mid-Training
ACL 2026
·
Xuemiao Zhang
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LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points
ACL 2026
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Xuemiao Zhang
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MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks
ACL 2026
·
Junhao Ruan
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Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective
AAAI 2026
·
Deyang Kong
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Scaling and Transferability of Annealing Strategies in Large Language Model Training
AAAI 2026
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Siqi Wang
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The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
ACL 2026
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Zihao Wei
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Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text
ACL 2026
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Zhihao Xu
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AgentRefine: Enhancing Agent Generalization through Refinement Tuning
ICLR 2025
·
Dayuan Fu
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Dynamic Fisher-weighted Model Merging via Bayesian Optimization
NAACL 2025
·
Sanwoo Lee
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Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective
ICLR 2025
·
Ruichen Shao
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FIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining
EMNLP 2025
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Liangyu Xu
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FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy
ACL 2025
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Xuemiao Zhang
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IIET: Efficient Numerical Transformer via Implicit Iterative Euler Method
EMNLP 2025
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Xinyu Liu
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Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training
ACL 2025
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Zhijun Wang
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Jailbreak LLMs through Internal Stance Manipulation
EMNLP 2025
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Shuangjie Fu
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Leveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning
EMNLP 2025
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Jizhi Zhang
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Multi-Programming Language Sandbox for LLMs
ACL 2025
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Shihan Dou
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NeedleInATable: Exploring Long-Context Capability of Large Language Models towards Long-Structured Tables
NeurIPS 2025
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Lanrui Wang
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Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data
ACL 2025
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Xuemiao Zhang
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ReMamba: Equip Mamba with Effective Long-Sequence Modeling
EMNLP 2025
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Danlong Yuan
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Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies
ACL 2025
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Zhengyu Chen
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SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models
AAAI 2025
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Muxi Diao
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SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity
EMNLP 2025
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Xiangyu Xi
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TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making
EMNLP 2025
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Kechen Jiao
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Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs
EMNLP 2025
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Hexiang Tan
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C-ICL: Contrastive In-context Learning for Information Extraction
EMNLP 2024
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Ying Mo
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CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding
AAAI 2024
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Yaoyuan Liang
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DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning
ACL 2024
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Yejie Wang
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EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction
EMNLP 2024
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Li Yang
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Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models
EMNLP 2024
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Xinyu Liu
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Graph-Structured Speculative Decoding
ACL 2024
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Zhuocheng Gong
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How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data
EMNLP 2024
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Yejie Wang
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Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning
EMNLP 2024
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Zhengyu Hu
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MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning
AAAI 2024
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Ying Mo
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Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning
NeurIPS 2024
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Bei Li
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Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models
EMNLP 2024
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Siqi Wang
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Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism
ACL 2024
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Jiahao Liu
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Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation
NeurIPS 2024
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Yaoyuan Liang
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What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation
AAAI 2024
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Zhuocheng Gong
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