Ming Zhang
- Papers
- 32
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Authored papers
32SciAgentGym: Benchmarking Multi-Step Scientific Tool-use in LLM Agents
arXiv 2026
HyperLogic: A Hard, Forward-Authored Chinese Logical Reasoning Benchmark with Execution-Derived Answers
arXiv 2026
OpenNovelty: An LLM-powered Agentic System for Verifiable Scholarly Novelty Assessment
arXiv 2026
Can Deep Research Agents Retrieve and Organize? Evaluating the Synthesis Gap with Expert Taxonomies
arXiv 2026
AI Can Learn Scientific Taste
arXiv 2026
CL-bench: A Benchmark for Context Learning
arXiv 2026
Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control
arXiv 2026
Large Language Model Agent: A Survey on Methodology, Applications and Challenges
arXiv 2025
Code2Logic: Game-Code-Driven Data Synthesis for Enhancing VLMs General Reasoning
arXiv 2025
FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation
arXiv 2025
Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification
arXiv 2025
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
arXiv 2025
Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm
arXiv 2025
PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts
arXiv 2025
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents
arXiv 2025
SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation
arXiv 2024
MouSi: Poly-Visual-Expert Vision-Language Models
arXiv 2024
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning
arXiv 2024
Preparing Lessons for Progressive Training on Language Models
arXiv 2024
Measuring Vision-Language STEM Skills of Neural Models
arXiv 2024
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
arXiv 2024
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation
arXiv 2024
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
arXiv 2024
AquilaMoE: Efficient Training for MoE Models with Scale-Up and Scale-Out Strategies
arXiv 2024
A Survey of Reasoning with Foundation Models
arXiv 2023
The Rise and Potential of Large Language Model Based Agents: A Survey
arXiv 2023
RJUA-QA: A Comprehensive QA Dataset for Urology
arXiv 2023
FIMO: A Challenge Formal Dataset for Automated Theorem Proving
arXiv 2023
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models
arXiv 2023
Partial FC: Training 10 Million Identities on a Single Machine
arXiv 2020
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
arXiv 2018
LINE: Large-scale Information Network Embedding
arXiv 2015
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