papers

Publications (38)

cs.CL2025

The Curse of CoT: On the Limitations of Chain-of-Thought in In-Context Learning

Tianshi Zheng, Yixiang Chen, Chengxi Li +7

cs.CL2024

Evaluating and Enhancing LLMs Agent based on Theory of Mind in Guandan: A Multi-Player Cooperative Game under Imperfect Information

Yauwai Yim, Chunkit Chan, Tianyu Shi +4

cs.AI2025

Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy Observations

Chunyang Li, Weiqi Wang, Tianshi Zheng +1

cs.CL2025

ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty

Qing Zong, Zhaowei Wang, Tianshi Zheng +2

cs.AI2026

HypoAgent: An Agentic Framework for Interactive Abductive Hypothesis Generation over Knowledge Graphs

Yisen Gao, Yixi Cai, Tianshi Zheng +2

cs.AI2026

Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs

Yisen Gao, Jiaxin Bai, Tianshi Zheng +5

cs.CL2025

AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora

Jiaxin Bai, Wei Fan, Qi Hu +17

cs.AI2025

The Cognitive Bandwidth Bottleneck: Shifting Long-Horizon Agent from Planning with Actions to Planning with Schemas

Baixuan Xu, Tianshi Zheng, Zhaowei Wang +4

cs.AI2025

DixitWorld: Evaluating Multimodal Abductive Reasoning in Vision-Language Models with Multi-Agent Dixit Gameplay

Yunxiang Mo, Tianshi Zheng, Qing Zong +6

cs.CL2026

SciLens: Multi-modal Scientific Claim Verification with Agentic Entailment and Grounding

Yueming Wang, Tianshi Zheng, Jiaxin Bai +3

cs.AI2026

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training

Tianqing Fang, Zhisong Zhang, Xiaoyang Wang +16

cs.AI2025

Top Ten Challenges Towards Agentic Neural Graph Databases

Jiaxin Bai, Zihao Wang, Yukun Zhou +16

cs.CV2026

MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models

Xiyu Ren, Zhaowei Wang, Yiming Du +11

cs.AI2026

MultivationBench: A Benchmark for Multimodal Sequential Motivation Reasoning

Kawai Chung, Chunkit Chan, Yauwai Yim +12

The paper introduces MultivationBench, a benchmark that tests multimodal large language models on their ability to reason about evolving human motivations across sequential visual…

#multimodal reasoning#motivation inference#sequential reasoning#visual narratives
cs.CL2025

From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery

Tianshi Zheng, Zheye Deng, Hong Ting Tsang +4

cs.AI2024

Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation

Jiaxin Bai, Yicheng Wang, Tianshi Zheng +3

cs.CL2025

INFERENCEDYNAMICS: Efficient Routing Across LLMs through Structured Capability and Knowledge Profiling

Haochen Shi, Tianshi Zheng, Weiqi Wang +6

cs.CL2024

Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction

Zheye Deng, Chunkit Chan, Weiqi Wang +5

cs.CL2026

PatchWorld: Gradient-Free Optimization of Executable World Models for Agent Environments

Jiaxin Bai, Yue Guo, Yifei Dong +13

cs.CL2025

LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning

Tianshi Zheng, Jiayang Cheng, Chunyang Li +6

cs.CL2025

Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study

Baixuan Xu, Chunyang Li, Weiqi Wang +6

cs.CL2026

AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction

Hong Ting Tsang, Jiaxin Bai, Haoyu Huang +5

cs.CL2026

Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning

Wei Fan, Yining Zhou, Mufan Zhang +8

cs.AI2026

NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents

Tianshi Zheng, Kelvin Kiu-Wai Tam, Newt Hue-Nam K. Nguyen +10

cs.CL2025

KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education?

Tianshi Zheng, Weihan Li, Jiaxin Bai +2

cs.CL2025

CritiCal: Can Critique Help LLM Uncertainty or Confidence Calibration?

Qing Zong, Jiayu Liu, Tianshi Zheng +7

cs.AI2026

Rethinking Prospect Theory for LLMs: Revealing the Instability of Decision-Making under Epistemic Uncertainty

Rui Wang, Qihan Lin, Jiayu Liu +7

cs.SE2025

SELF-REDRAFT: Eliciting Intrinsic Exploration-Exploitation Balance in Test-Time Scaling for Code Generation

Yixiang Chen, Tianshi Zheng, Shijue Huang +2

cs.AI2023

TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining

Qing Zong, Zhaowei Wang, Baixuan Xu +6

cs.CL2026

NOVA: NOise-aware Verbal Confidence CAlibration for Robust Large Language Models in RAG Systems

Jiayu Liu, Rui Wang, Qing Zong +9

cs.CL2025

Structuring the Unstructured: A Systematic Review of Text-to-Structure Generation for Agentic AI with a Universal Evaluation Framework

Zheye Deng, Chunkit Chan, Tianshi Zheng +3

cs.CL2025

Enhancing Transformers for Generalizable First-Order Logical Entailment

Tianshi Zheng, Jiazheng Wang, Zihao Wang +5

cs.CL2024

CLR-Fact: Evaluating the Complex Logical Reasoning Capability of Large Language Models over Factual Knowledge

Tianshi Zheng, Jiaxin Bai, Yicheng Wang +4

cs.CL2026

SING: Synthetic Intention Graph for Scalable Active Tool Discovery in LLM Agents

Qiao Xiao, Haochen Shi, Yisen Gao +9

cs.AI2025

LLM-Hanabi: Evaluating Multi-Agent Gameplays with Theory-of-Mind and Rationale Inference in Imperfect Information Collaboration Game

Fangzhou Liang, Tianshi Zheng, Chunkit Chan +2

cs.CL2023

Sequential Query Encoding For Complex Query Answering on Knowledge Graphs

Jiaxin Bai, Tianshi Zheng, Yangqiu Song

cs.AI2026

SciResearcher: Scaling Deep Research Agents for Frontier Scientific Reasoning

Tianshi Zheng, Rui Wang, Xiyun Li +5

cs.CL2025

Legal Rule Induction: Towards Generalizable Principle Discovery from Analogous Judicial Precedents

Wei Fan, Tianshi Zheng, Yiran Hu +7