Jiexin Xu
12 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
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Keywords
large language model
(4)
knowledge graph
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question answering
(3)
commonsense reasoning
(2)
knowledge distillation
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text generation
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reward model
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knowledge retrieval
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knowledge conflict
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optimal transport
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in-context learning
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data augmentation
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model calibration
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prompt engineering
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preference alignment
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event argument extraction
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knowledge editing
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natural language processing
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low-resource learning
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Papers
Towards Better Chain-of-Thought: A Reflection on Effectiveness and Faithfulness
ACL 2025
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
ACL 2025
AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation
EMNLP 2024
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models
ACL 2024
Leros: Learning Explicit Reasoning on Synthesized Data for Commonsense Question Answering
COLING 2024
Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models
COLING 2024
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning
EMNLP 2024
Event Ontology Completion with Hierarchical Structure Evolution Networks
EMNLP 2023
Complex Event Schema Induction with Knowledge-Enriched Diffusion Model
EMNLP 2023
Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage Sequence-to-Sequence Approach
COLING 2022
Generating Temporally-ordered Event Sequences via Event Optimal Transport
COLING 2022
What the Role is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering
AAAI 2021