Linjing Li
12 papers · 2020–2026 · 5 venues · across top CS/AI venues
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large language model
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chain of thought
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game theory
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decision making
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in-context learning
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knowledge representation
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epistemic uncertainty
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chain-of-thought reasoning
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information retrieval
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prompt engineering
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policy gradient
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Papers
Spec-o3: A Tool-Augmented Vision-Language Agent for Rare Celestial Object Candidate Vetting via Automated Spectral Inspection
ACL 2026
Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning
EMNLP 2025
Evaluating Generalization Capability of Language Models across Abductive, Deductive and Inductive Logical Reasoning
COLING 2025
Learning Dynamics in Continual Pre-Training for Large Language Models
ICML 2025
Learning Strategy Representation for Imitation Learning in Multi-Agent Games
AAAI 2025
Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models
AAAI 2025
POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation
EMNLP 2025
Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models?
ACL 2025
Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM Reasoning
EMNLP 2025
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons
EMNLP 2024
LDM2: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement
EMNLP 2023
Knowledge-Enhanced Natural Language Inference Based on Knowledge Graphs
COLING 2020