Xintao Wang

Orcid: 0000-0003-1428-8677

Affiliations:
  • Fudan University, Shanghai Key Laboratory of Data Science, School of Computer Science, Knowledge Works Research Laboratory, Shanghai, China


According to our database1, Xintao Wang authored at least 26 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
ARIA: Training Language Agents with Intention-Driven Reward Aggregation.
CoRR, June, 2025

Can LLMs Learn to Map the World from Local Descriptions?
CoRR, May, 2025

BookWorld: From Novels to Interactive Agent Societies for Creative Story Generation.
CoRR, April, 2025

Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents.
CoRR, March, 2025

PowerAttention: Exponentially Scaling of Receptive Fields for Effective Sparse Attention.
CoRR, March, 2025

CoSER: Coordinating LLM-Based Persona Simulation of Established Roles.
CoRR, February, 2025

Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

BOOKWORLD: From Novels to Interactive Agent Societies for Story Creation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
From Persona to Personalization: A Survey on Role-Playing Language Agents.
Trans. Mach. Learn. Res., 2024

MINDECHO: Role-Playing Language Agents for Key Opinion Leaders.
CoRR, 2024

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs.
CoRR, 2024

Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals.
CoRR, 2024

Character is Destiny: Can Large Language Models Simulate Persona-Driven Decisions in Role-Playing?
CoRR, 2024

SurveyAgent: A Conversational System for Personalized and Efficient Research Survey.
CoRR, 2024

ConcEPT: Concept-Enhanced Pre-Training for Language Models.
CoRR, 2024

Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Capturing Minds, Not Just Words: Enhancing Role-Playing Language Models with Personality-Indicative Data.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Source Prompt: Coordinated Pre-training of Language Models on Diverse Corpora from Multiple Sources.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Prototypical Concept Representation.
IEEE Trans. Knowl. Data Eng., July, 2023

Source Prompt: Coordinated Pre-training of Language Models on Diverse Corpora from Multiple Sources.
CoRR, 2023

Can Large Language Models Understand Real-World Complex Instructions?
CoRR, 2023

KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases.
CoRR, 2023

MAPS-KB: A Million-Scale Probabilistic Simile Knowledge Base.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Language Models as Knowledge Embeddings.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022


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