Detecting Contextual Hallucinations in Large Language Models with Frequency-Aware Attention
Published in ICML 2026, 2026
A frequency-aware view of attention dynamics for lightweight contextual hallucination detection.
Published in ICML 2026, 2026
A frequency-aware view of attention dynamics for lightweight contextual hallucination detection.
Published in EMNLP 2026 (System Demonstrations), 2026
A privacy-preserving, locally deployable LLM agent platform for real-time health insights from wearables.
Published in ICML 2026 (Position Paper Track), 2026
A position paper on why self-evolving LLM systems plateau and how to sustain self-improvement.
Published in ICLR 2026, 2025
Mechanistic analysis of how strengthening reasoning capabilities can induce misalignment in LLMs.
Published in AAAI 2026, 2025
A label-free metric for aligning retrieved summaries with reader models in retrieval-augmented generation.
Published in EMNLP 2025, 2025
Incentive training for language models using verifier-free reinforcement learning approach.
Published in Findings of ACL 2025, 2025
Evaluation of LLMs assessment capabilities for mixed-context hallucination in summarization tasks.
Published in Findings of ACL 2025, 2025
Improving LLMs theory-of-mind reasoning capabilities using neural knowledge base of entity states.
Published in ACL 2025, 2025
Information-theoretic analysis of L1-dependent biases in LLM simulation of L2-English dialogue.
Published in arXiv preprint, 2024
Comprehensive survey of automatic hallucination evaluation methods in natural language generation.
Published in AACL-IJCNLP 2022, 2022
Structure-aware extractive summarization for scientific papers using heterogeneous graph neural networks.
Published in arXiv preprint, 2021
Investigating subjective bias in abstractive summarization and its impact on summary quality.
Published in SDP Workshop @ EMNLP 2020, 2020
Automatic scientific document summarization for CL-SciSumm 2020 and LongSumm 2020 shared tasks.