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Wangchunshu Zhou

Papers
49

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49papers

Authored papers

49

EcoGym: Evaluating LLMs for Long-Horizon Plan-and-Execute in Interactive Economies

arXiv 2026

2026

Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization

arXiv 2026

2026

MemEvolve: Meta-Evolution of Agent Memory Systems

arXiv 2025

2025

TaskCraft: Automated Generation of Agentic Tasks

arXiv 2025

2025

A Comprehensive Survey on Long Context Language Modeling

arXiv 2025

2025

Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving

arXiv 2025

2025

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use

arXiv 2025

2025

COIG-Writer: A High-Quality Dataset for Chinese Creative Writing with Thought Processes

arXiv 2025

2025

KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation

arXiv 2025

2025

ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning

arXiv 2025

2025

CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models

arXiv 2025

2025

A Survey on Latent Reasoning

arXiv 2025

2025

How Far Are We from Genuinely Useful Deep Research Agents?

arXiv 2025

2025

Efficient Agents: Building Effective Agents While Reducing Cost

arXiv 2025

2025

MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

arXiv 2025

2025

Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution

arXiv 2025

2025

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL

arXiv 2025

2025

TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

arXiv 2025

2025

A^2FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning

arXiv 2025

2025

Reverse-Engineered Reasoning for Open-Ended Generation

arXiv 2025

2025

OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation

arXiv 2025

2025

M+: Extending MemoryLLM with Scalable Long-Term Memory

arXiv 2025

2025

COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values

arXiv 2025

2025

Towards Personalized Deep Research: Benchmarks and Evaluations

arXiv 2025

2025

Towards Faithful and Controllable Personalization via Critique-Post-Edit Reinforcement Learning

arXiv 2025

2025

ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding

arXiv 2025

2025

Beyond Correctness: Evaluating Subjective Writing Preferences Across Cultures

arXiv 2025

2025

VeriGUI: Verifiable Long-Chain GUI Dataset

arXiv 2025

2025

Symbolic Learning Enables Self-Evolving Agents

arXiv 2024

2024

MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series

arXiv 2024

2024

AI PERSONA: Towards Life-long Personalization of LLMs

arXiv 2024

2024

AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions

arXiv 2024

2024

AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning

arXiv 2024

2024

A Comparative Study on Reasoning Patterns of OpenAI's o1 Model

arXiv 2024

2024

HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models

arXiv 2024

2024

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

arXiv 2024

2024

MIO: A Foundation Model on Multimodal Tokens

arXiv 2024

2024

ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code

arXiv 2023

2023

RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text

arXiv 2023

2023

Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models

arXiv 2023

2023

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

arXiv 2023

2023

How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

arXiv 2023

2023

Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?

arXiv 2023

2023

Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

arXiv 2023

2023

Mixup Your Own Pairs

arXiv 2023

2023

Evaluating Large Language Models on Controlled Generation Tasks

arXiv 2023

2023

Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting

EMNLP 2021 11

2021

BERT Loses Patience: Fast and Robust Inference with Early Exit

NeurIPS 2020 12

2020

BERT-of-Theseus: Compressing BERT by Progressive Module Replacing

EMNLP 2020 11

2020

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