Tianshi Zheng

Orcid: 0009-0008-7053-6253

According to our database1, Tianshi Zheng authored at least 23 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Structuring the Unstructured: A Systematic Review of Text-to-Structure Generation for Agentic AI with a Universal Evaluation Framework.
CoRR, August, 2025

Prospect Theory Fails for LLMs: Revealing Instability of Decision-Making under Epistemic Uncertainty.
CoRR, August, 2025

AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora.
CoRR, May, 2025

Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs.
CoRR, May, 2025

INFERENCEDYNAMICS: Efficient Routing Across LLMs through Structured Capability and Knowledge Profiling.
CoRR, May, 2025

Legal Rule Induction: Towards Generalizable Principle Discovery from Analogous Judicial Precedents.
CoRR, May, 2025

From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery.
CoRR, May, 2025

Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study.
CoRR, May, 2025

The Curse of CoT: On the Limitations of Chain-of-Thought in In-Context Learning.
CoRR, April, 2025

LogiDynamics: Unraveling the Dynamics of Logical Inference in Large Language Model Reasoning.
CoRR, February, 2025

Top Ten Challenges Towards Agentic Neural Graph Databases.
IEEE Data Eng. Bull., 2025

ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Enhancing Transformers for Generalizable First-Order Logical Entailment.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy Observations.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Assessing the Robustness of Retrieval-Augmented Generation Systems in K-12 Educational Question Answering with Knowledge Discrepancies.
CoRR, 2024

CLR-Fact: Evaluating the Complex Logical Reasoning Capability of Large Language Models over Factual Knowledge.
CoRR, 2024

Evaluating and Enhancing LLMs Agent Based on Theory of Mind in Guandan: A Multi-Player Cooperative Game Under Imperfect Information.
Proceedings of the IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, 2024

Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Sequential Query Encoding for Complex Query Answering on Knowledge Graphs.
Trans. Mach. Learn. Res., 2023

Abductive Logical Reasoning on Knowledge Graphs.
CoRR, 2023

KnowComp Submission for WMT23 Sign Language Translation Task.
Proceedings of the Eighth Conference on Machine Translation, 2023

TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining.
Proceedings of the 10th Workshop on Argument Mining, 2023


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