SD
Shihan Dou
cs.CLcs.AIcs.LGcs.SEcs.CRcs.CVcs.SDcs.IRcs.ROeess.AS
On Valency
published · living versionsW_arrft6hu·v1 · currentpublished
ToolSpace: Scaling Tool-Centric Environment Synthesis for Long-Horizon Agents
with Guanting Dong, Zhichao Sun, Xinyu Yang, Rui Wang +20
1 version
W_ckhskh27·v1published
Preprints & journals
83 papers in the corpus · 2021–2026TIDE: Tree-Induced Fine-Grained Diagnostic Evaluation from Model Behaviors2610.29985v1 · Jiayi Chen, Hui Li, Yujiong Shen et al.2026 · 0 citationsarXivon Valency
QREF: Improving DeepSearch Agents by Aligning Search with Reasoning via Query Refinement and Evidence Filtering2610.21512v1 · Yujia Chen, Yuhui Wang, Junzhe Wang et al.2026 · 0 citationsarXiv
Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory2610.19366v1 · Minghao Guo, Qingyue Jiao, Xiujin Liu et al.2026 · 0 citationsarXiv
Agents in the Large: Perception-Centered Architecture for Persistent Agents2608.30478v1 · Shihan Dou, Haoxiang Jia, Shichun Liu et al.2026 · 0 citationsarXiv
Certified Multi-Turn Robustness for LLM Safety via Compositional Bounds and Safety Persistence2608.20820v1 · Yang Liu, Bin Chong, Wenkai Yang et al.2026 · 0 citationsarXiv
SPIEval: Evaluating Large Language Models as Mobile Assistants over Scattered Personal Information2608.10692v1 · Junjie Ye, Zhuohui Sheng, Shaofan Liu et al.2026 · 0 citationsarXiv
IACM-RL: Intent-Aware Context Management and Reinforcement Learning for Complex Tool Invocation under Dynamic Intent Fluctuations2608.02110v2 · Dingwei Zhu, Jiahan Li, Chengjun Pan et al.2026 · 0 citationsarXiv
MemArbiter: Decision-Time Memory Arbitration for Long-Horizon LLM Agents2608.02113v1 · Jiajun Dong, Yutao Hu, Fengrui Fan et al.2026 · 0 citationsarXiv
PlanningBench: Generating Scalable and Verifiable Planning Data for Evaluating and Training Large Language Models2605.20873v2 · Ziliang Zhao, Zenan Xu, Shuting Wang et al.2026 · 0 citationsarXiv
HyperLogic: A Hard, Forward-Authored Chinese Logical Reasoning Benchmark with Execution-Derived Answers2605.19597v2 · Ming Zhang, Qiyuan Peng, Yinxi Wei et al.2026 · 0 citationsarXiv
Entropy Polarity in Reinforcement Fine-Tuning: Direction, Asymmetry, and Control2605.11775v2 · Jiazheng Zhang, Ziche Fu, Junrui Shen et al.2026 · 0 citationsarXiv
Towards Security-Auditable LLM Agents: A Unified Graph Representation2605.06812v2 · Chaofan Li, Lyuye Zhang, Jintao Zhai et al.2026 · 0 citationsarXiv
CL-bench Life: Can Language Models Learn from Real-Life Context?2604.27043v1 · Shihan Dou, Yujiong Shen, Chenhao Huang et al.2026 · 0 citationsarXiv
Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses2604.25850v4 · Jiahang Lin, Shichun Liu, Chengjun Pan et al.2026 · 1 citationarXiv
EVPO: Explained Variance Policy Optimization for Adaptive Critic Utilization in LLM Post-Training2604.19485v1 · Chengjun Pan, Shichun Liu, Jiahang Lin et al.2026 · 0 citationsarXiv
MM-Doc-R1: Training Agents for Long Document Visual Question Answering through Multi-turn Reinforcement Learning2604.13579v1 · Jiahang Lin, Kai Hu, Binghai Wang et al.2026 · 0 citationsarXiv
Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges2604.13602v1 · Xiaohua Wang, Muzhao Tian, Yuqi Zeng et al.2026 · 0 citationsarXiv
Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization2604.14267v2 · Junzhe Wang, Zhiheng Xi, Yajie Yang et al.2026 · 0 citationsarXiv
A Decomposition Perspective to Long-context Reasoning for LLMs2604.07981v1 · Yanling Xiao, Huaibing Xie, Guoliang Zhao et al.2026 · 0 citationsarXiv
JFTA-Bench: Evaluate LLM's Ability of Tracking and Analyzing Malfunctions Using Fault Trees2603.22978v2 · Yuhui Wang, Zhixiong Yang, Ming Zhang et al.2026 · 0 citationsarXiv
Probing How Scalable Table Data Enhances General Long-Context Reasoning2603.21719v1 · Huaibing Xie, Guoliang Zhao, Yang Liu et al.2026 · 0 citationsarXiv
SciAgentGym: Benchmarking Multi-Step Scientific Tool-use in LLM Agents2602.12984v2 · Yujiong Shen, Yajie Yang, Zhiheng Xi et al.2026 · 1 citationarXiv
DFPO: Scaling Value Modeling via Distributional Flow towards Robust and Generalizable LLM Post-Training2602.05890v2 · Dingwei Zhu, Zhiheng Xi, Shihan Dou et al.2026 · 0 citationsarXiv
Steering LLMs via Scalable Interactive Oversight2602.04210v2 · Enyu Zhou, Zhiheng Xi, Long Ma et al.2026 · 0 citationsarXiv
CL-bench: A Benchmark for Context Learning2602.03587v1 · Shihan Dou, Ming Zhang, Zhangyue Yin et al.2026 · 2 citationsarXiv
Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report Generation2602.03619v3 · Changze Lv, Jie Zhou, Wentao Zhao et al.2026 · 0 citationsarXiv
FRoM-W1: Towards General Humanoid Whole-Body Control with Language Instructions2601.12799v1 · Peng Li, Zihan Zhuang, Yangfan Gao et al.2026 · 0 citationsarXiv
OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding2601.10343v2 · Deming Ding, Shichun Liu, Enhui Yang et al.2026 · 0 citationsarXiv
Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control2601.03973v3 · Changhao Jiang, Jiahao Chen, Zhenghao Xiang et al.2026 · 0 citationsarXiv
OpenNovelty: An LLM-powered Agentic System for Verifiable Scholarly Novelty Assessment2601.01576v2 · Ming Zhang, Kexin Tan, Yueyuan Huang et al.2026 · 1 citationarXiv
SpikeBERT: A language spikformer learned from BERT with knowledge distillation.41447830 · Lv, Changze, Li, Tianlong, Qiao, Weiming et al.2026 · 9 citationsNeural networks : the official journal of the International Neural Network Society. 2026;197:108482
Memory in the Age of AI Agents2512.13564v2 · Yuyang Hu, Shichun Liu, Yanwei Yue et al.2025 · 1 citationarXiv
DVPO: Distributional Value Modeling-based Policy Optimization for LLM Post-Training2512.03847v3 · Dingwei Zhu, Zhiheng Xi, Shihan Dou et al.2025 · 0 citationsarXiv
From Scores to Preferences: Redefining MOS Benchmarking for Speech Quality Reward Modeling2510.00743v1 · Yifei Cao, Changhao Jiang, Jiabao Zhuang et al.2025 · 0 citationsarXiv
Unlocking the Essence of Beauty: Advanced Aesthetic Reasoning with Relative-Absolute Policy Optimization2509.21871v1 · Boyang Liu, Yifan Hu, Senjie Jin et al.2025 · 0 citationsarXiv
CMDAR: A Chinese Multi-scene Dynamic Audio Reasoning Benchmark with Diverse Challenges2509.22461v3 · Hui Li, Changhao Jiang, Hongyu Wang et al.2025 · 0 citationsarXiv
LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models2508.05452v7 · Ming Zhang, Yujiong Shen, Jingyi Deng et al.2025 · 0 citationsarXiv
VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training2508.03058v2 · Dingwei Zhu, Shihan Dou, Zhiheng Xi et al.2025 · 0 citationsarXiv
Pre-Trained Policy Discriminators are General Reward Models2507.05197v2 · Shihan Dou, Shichun Liu, Yuming Yang et al.2025 · 0 citationsarXiv
Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning2506.04065v1 · Muling Wu, Qi Qian, Wenhao Liu et al.2025 · 0 citationsarXiv
LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation2506.04078v3 · Ming Zhang, Yujiong Shen, Zelin Li et al.2025 · 7 citationsarXiv
EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving2506.02672v3 · Shihan Dou, Ming Zhang, Chenhao Huang et al.2025 · 0 citationsarXiv
Compression Hacking: A Supplementary Perspective on Informatics Properties of Language Models from Geometric Distortion2505.17793v3 · Jianxiang Zang, Meiling Ning, Yongda Wei et al.2025 · 0 citationsarXiv
Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment2505.10597v3 · Jiazheng Zhang, Wenqing Jing, Zizhuo Zhang et al.2025 · 0 citationsarXiv
Improving RL Exploration for LLM Reasoning through Retrospective Replay2504.14363v2 · Shihan Dou, Muling Wu, Jingwen Xu et al.2025 · 0 citationsarXiv
Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning2504.13914v3 · ByteDance Seed: Jiaze Chen, Tiantian Fan, Xin Liu et al.2025 · 1 citationarXiv
PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts2503.06706v3 · Ming Zhang, Yuhui Wang, Yujiong Shen et al.2025 · 0 citationsarXiv
Detecting Essence Code Clones via Information Theoretic Analysis2502.19219v1 · Lida Zhao, Shihan Dou, Yutao Hu et al.2025 · 0 citationsarXiv
Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric2502.17184v5 · Yuming Yang, Yang Nan, Junjie Ye et al.2025 · 6 citationsarXiv
Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training2502.04066v7 · Changhao Jiang, Ming Zhang, Yifei Cao et al.2025 · 0 citationsarXiv
Career total: 107 works. 83 are in this corpus.Showing the 50 most recent.
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