token-level analysis

Taming the Phantom: Token-Asymmetric Filtering for Hallucination Mitigation in Large Vision-Language Models AAAI 2026 LaTIM: Measuring Latent Token-to-Token Interactions in Mamba Models ACL 2025 LLM-Microscope: Uncovering the Hidden Role of Punctuation in Context Memory of Transformers NAACL 2025 SciHallu: A Multi-Granularity Hallucination Detection Dataset for Scientific Writing IJCNLP 2025 The Impact of Negated Text on Hallucination with Large Language Models EMNLP 2025 Token-level semantic typology without a massively parallel corpus ACL 2025 Unveiling the Response of Large Vision-Language Models to Visually Absent Tokens EMNLP 2025 UZH at SemEval-2025 Task 3: Token-Level Self-Consistency for Hallucination Detection SemEval 2025 XDAC: XAI-Driven Detection and Attribution of LLM-Generated News Comments in Korean ACL 2025 Bridging Word-Pair and Token-Level Metaphor Detection with Explainable Domain Mining ACL 2024 Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification ACL 2024 LLM Explainability via Attributive Masking Learning EMNLP 2024 Re-evaluating the Tomes for the Times COLING 2024 Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models NeurIPS 2024 Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction ACL 2023 Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus EMNLP 2023 Unsupervised Token-level Hallucination Detection from Summary Generation By-products EMNLP 2022 LMdiff: A Visual Diff Tool to Compare Language Models EMNLP 2021