ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs (2025 · 14 citations)
Hallucination detectors that read an LLM's hidden states are appealing because they need no reference answers or repeated sampling.
DecoCal: Decoding with Calibration in Diffusion Large Language Models (2026)
Diffusion large language models (DLLMs) such as LLaDA and Dream write text by repeatedly filling in masked tokens.
JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query Generation (2026)
The paper targets factual hallucination detection in open-domain question answering. Retrieval-based checking pipelines usually split an answer into claims, write search queries, gather evidence and then verify each claim. The authors argue that the first two steps are weak: claims lose their context, and queries are…
Minos: A Multimodal Evaluation Model for Bidirectional Generation Between Image and Text (2026)
Automatic judging of multimodal outputs is still unreliable. Classic metrics often disagree with human ratings, need references, or only work for one task. Existing MLLM-based judges such as LLaVA-Critic and UnifiedReward train on large but loosely filtered data and do not handle both image-to-text (I2T) and…

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Updated 2 November 2026