How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability Study (2026)
The paper asks whether language alone, without images, lets LLMs and VLMs track how a viewpoint changes after a series of turns.
Temporal Token Matters: Investigating and Interpreting the Consistency of Temporal Ordering in Large Language Models (2026)
Large language models often contradict themselves on simple event-ordering questions. Rephrasing "Is A before B?" as "Is A after B?" can produce incoherent answers. The authors examine how models handle this task internally, using a three-stage Identify-Interpret-Verify approach. For a clean testbed, they used GPT-4o…
Where CoT Reasoning Commits: Entropy Traces Identify Interpretable Attention Heads (2026)
Chain-of-thought output does not show which internal components decide the final answer, and PEFT methods such as LoRA rarely explain why particular parameters work well as adaptation targets.

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Updated 2 November 2026