Baixuan Xu
Orcid: 0000-0001-8175-7598
According to our database1,
Baixuan Xu authored at least 27 papers
between 2016 and 2026.
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Bibliography
2026
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning.
CoRR, May, 2026
CoRR, May, 2026
CoRR, January, 2026
2025
CoRR, October, 2025
CoRR, October, 2025
DixitWorld: Evaluating Multimodal Abductive Reasoning in Vision-Language Models with Multi-Agent Dixit Gameplay.
CoRR, October, 2025
CoRR, October, 2025
The Cognitive Bandwidth Bottleneck: Shifting Long-Horizon Agent from Planning with Actions to Planning with Schemas.
CoRR, October, 2025
SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding.
CoRR, July, 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
Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study.
CoRR, May, 2025
Trans. Mach. Learn. Res., 2025
On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
2024
EcomEdit: An Automated E-commerce Knowledge Editing Framework for Enhanced Product and Purchase Intention Understanding.
CoRR, 2024
KnowComp at SemEval-2024 Task 9: Conceptualization-Augmented Prompting with Large Language Models for Lateral Reasoning.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024
Miko: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
KnowComp at DialAM-2024: Fine-tuning Pre-trained Language Models for Dialogical Argument Mining with Inference Anchoring Theory.
Proceedings of the 11th Workshop on Argument Mining, ArgMining 2024, Bangkok, Thailand, 2024
CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Proceedings of the Eighth Conference on Machine Translation, 2023
KnowComp at SemEval-2023 Task 7: Fine-tuning Pre-trained Language Models for Clinical Trial Entailment Identification.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 10th Workshop on Argument Mining, 2023
CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2016
Evaluation of a Wobbling Method Applied to Correcting Defective Pixels of CZT Detectors in SPECT Imaging.
Sensors, 2016