Publications

(2024). From Persona to Personalization: A Survey on Role-Playing Language Agents. Preprint.

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(2024). Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works. Preprint.

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(2024). Character is Destiny: Can Large Language Models Simulate Persona-Driven Decisions in Role-Playing?. Preprint.

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(2024). SurveyAgent: A Conversational System for Personalized and Efficient Research Survey. Preprint.

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(2024). How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?. Preprint.

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(2024). Agent Group Chat: An Interactive Group Chat Simulacra For Better Eliciting Collective Emergent Behavior. Preprint.

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(2024). TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation. Preprint.

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(2024). InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews. Preprint.

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(2024). GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick. Preprint.

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(2024). TravelPlanner: A Benchmark for Real-World Planning with Language Agents. In The Forty-first International Conference on Machine Learning (ICML 2024).

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(2024). EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction. Preprint.

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(2023). Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena. Preprint.

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(2023). Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Models. In The 38th AAAI Conference on Artificial Intelligence (AAAI 2024).

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(2023). Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts. In The Twelfth International Conference on Learning Representations (ICLR 2024), Spotlight.

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(2023). Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction. In The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) - Findings.

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(2023). AnalogyKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base. Preprint.

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(2023). Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge. In The 61th Annual Meeting of the Association for Computational Linguistics (ACL 2023).

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(2023). Distilling Script Knowledge from Large Language Models for Constrained Language Planning. In The 61th Annual Meeting of the Association for Computational Linguistics (ACL 2023), Outstanding Paper Award.

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(2022). Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review. In Bulletin of the IEEE Technical Committee on Data Engineering (Invited Paper).

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(2022). Unsupervised Explanation Generation via Correct Instantiations. In The 37th AAAI Conference on Artificial Intelligence (AAAI 2023).

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(2022). Converge to the Truth: Factual Error Correction via Iterative Constrained Editing. In The 37th AAAI Conference on Artificial Intelligence (AAAI 2023).

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(2022). Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints. In The 2022 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2022).

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(2022). E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning. In The 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) - Findings.

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(2022). FalCon: A Faithful Contrastive Framework for Response Generation in TableQA Systems. In The 27th International Conference on Database Systems for Advanced Applications (DASFAA 2022).

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(2022). Unsupervised Editing for Counterfactual Stories. In The 36th AAAI Conference on Artificial Intelligence (AAAI 2022) (oral).

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(2022). LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification. In The 36th AAAI Conference on Artificial Intelligence (AAAI 2022) (oral).

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(2022). Harvesting More Answer Spans from Paragraphs beyond Annotation. In The 15th ACM International Conference on Web Search and Data Mining (WSDM 2022).

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(2022). Diversified Query Generation Guided with Knowledge Graph. In The 15th ACM International Conference on Web Search and Data Mining (WSDM 2022).

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(2021). Diversified Paraphrase Generation with Commonsense Knowledge Graph. In The 10th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2021) (oral).

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(2021). Probabilistic Graph Reasoning for Natural Proof Generation. In The 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021) - Findings.

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(2019). Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019).

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(2019). CN-Probase: A Data-driven Approach for Large-scale Chinese Taxonomy Construction. In 2019 IEEE 35th International Conference on Data Engineering (ICDE 2019).

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