NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning
Published in arXiv preprint, 2025
Incentive training for language models using verifier-free reinforcement learning approach.
Publications
Evaluating LLMs' Assessment of Mixed-Context Hallucination Through the Lens of Summarization
Published in arXiv preprint, 2025
Evaluation of LLMs assessment capabilities for mixed-context hallucination in summarization tasks.
EnigmaToM: Improve LLMs' Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity States
Published in arXiv preprint, 2025
Improving LLMs theory-of-mind reasoning capabilities using neural knowledge base of entity states.
Can LLMs Simulate L2-English Dialogue? An Information-Theoretic Analysis of L1-Dependent Biases
Published in arXiv preprint, 2025
Information-theoretic analysis of L1-dependent biases in LLM simulation of L2-English dialogue.
A Survey of Automatic Hallucination Evaluation on Natural Language Generation
Published in arXiv preprint, 2024
Comprehensive survey of automatic hallucination evaluation methods in natural language generation.
SAPGraph: Structure-aware extractive summarization for scientific papers with heterogeneous graph
Published in Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2022
Structure-aware extractive summarization for scientific papers using heterogeneous graph neural networks.
Subjective bias in abstractive summarization
Published in arXiv preprint, 2021
Investigating subjective bias in abstractive summarization and its impact on summary quality.
CIST@CL-SciSumm 2020, LongSumm 2020: Automatic scientific document summarization
Published in Proceedings of the First Workshop on Scholarly Document Processing, 2020
Automatic scientific document summarization for CL-SciSumm 2020 and LongSumm 2020 shared tasks.