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Maxm Pan
Observed name:
Pan, Maxm
Institution:
Tencent (China)
Observed institution:
Tencent (China)
OpenAlex ID:
A5143734700
REALHOP: Rethinking Multi-Hop Reasoning Evaluation via Behavioral Auditing
2026
·
Tao, Jiawen
, Yuan, Xiaokun
, et al.
·
arXiv (Cornell University)
PDF
Breaking the Environment Wall: A Unified Framework for Preparing and Evolving Agent-Native Environments
2026
·
Wu, Yukai
, Yang, Yuanjing
, et al.
·
arXiv (Cornell University)
PDF
ExplorationBench: Measuring AI Systems' Exploration in Verifiable Alien Worlds
2026
·
Zhang, Ming
, Xiang, Zhenghao
, et al.
·
arXiv (Cornell University)
PDF
Beyond Outcomes: Dual-View Relational Learning for Efficient Agent Benchmarking
2026
·
Guo, Xinshuai
, Wu, Junjie
, et al.
·
arXiv (Cornell University)
PDF
WebCraftBench: Evaluating Web Application Generation from a Software Testing Perspective
2026
·
Liu, Chenxu
, Zou, Zilu
, et al.
·
arXiv (Cornell University)
PDF
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding
2026
·
Ye, Eileen
, Tao, Jiawen
, et al.
·
arXiv (Cornell University)
PDF
Beyond Rephrasing: Book-Level Organization Improves Synthetic Textbook Data for Mid-Training
2026
·
Tao, Jiawen
, Peng, Miao
, et al.
·
arXiv (Cornell University)
PDF
E-Bench: Benchmarking Multi-Step Tool-Use Agents in Real-World Product Scenarios
2026
·
Zheng, Weihuang
, Zou, Tianyuan
, et al.
·
arXiv (Cornell University)
PDF
Do Agent Benchmarks Measure Capability? Protocol Validity in the Age of Agentic AI
2026
·
Shao, Jiaqi
, Chen, Hanck
, et al.
·
arXiv (Cornell University)
PDF
AhaBench: Do Agents Turn Experience into Reusable Insights? A Long-Horizon Benchmark for Continual Learning
2026
·
Cheng, Zerui
, Xu, Jiawei
, et al.
·
arXiv (Cornell University)
PDF
HyperLogic: A Hard, Forward-Authored Chinese Logical Reasoning Benchmark with Execution-Derived Answers
2026
·
Zhang, Ming
, Peng, Qiyuan
, et al.
·
arXiv (Cornell University)
PDF
TaxoBench: Can Deep Research Agents Retrieve and Organize? Evaluating the Synthesis Gap with Expert Taxonomies
2026
·
Zhang, Ming
, Zhuang, Jiabao
, et al.
·
arXiv (Cornell University)
PDF
TIDE: Tree-Induced Fine-Grained Diagnostic Evaluation from Model Behaviors
2026
·
Jiayi Chen
, Hui Li
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
AEGIS-D: Multi-Agent Debate for High-Precision Verification of Hard Competition Mathematics
2026
·
Jiayang Sun
, Jiawei Xu
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
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14
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