Tianshi Zheng
14 papers · 2023–2026 · 2 conferences · across top CS/AI conferences
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Keywords
large language model
(7)
question answering
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inductive reasoning
(2)
retrieval-augmented generation
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abductive reasoning
(2)
multimodal learning
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reinforcement learning
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knowledge graph construction
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argument mining
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logical reasoning
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zero-shot learning
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neural machine translation
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text summarization
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factual knowledge
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knowledge graph
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uncertainty quantification
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text retrieval
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pattern recognition
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information extraction
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out-of-distribution generalization
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Papers
InferenceDynamics: Adaptive LLM Routing through Structured Capability and Knowledge Profiling
ACL 2026
AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora
ACL 2026
DIXITWORLD: Evaluating Multimodal Abductive Reasoning in Vision-Language Models with Multi-Agent Dixit Gameplay
ACL 2026
AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction
ACL 2026
Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy Observations
ACL 2025
From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery
EMNLP 2025
LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning
EMNLP 2025
Enhancing Transformers for Generalizable First-Order Logical Entailment
ACL 2025
KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education?
ACL 2025
ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty
ACL 2025
Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction
EMNLP 2024
Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation
ACL 2024
KnowComp Submission for WMT23 Sign Language Translation Task
EMNLP 2023
TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining
EMNLP 2023