LLM temporal benchmarks reward memorized time knowledge, study finds
Same-dataset finetuning gained 6.8 to 23.1 points, while same-mode transfer ranged from −3.2 to +1.1 points.
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Same-dataset finetuning gained 6.8 to 23.1 points, while same-mode transfer ranged from −3.2 to +1.1 points.
Temporal Activation Injection restores fading mid-layer timing signals in VideoLLMs without training.
UID-preserving multimodal framework plus GAVEL LLM judge improves clinical timeline reconstruction, boosting event recovery 43% over prior matching.
TempCloze benchmark tests Video-LLMs' temporal reasoning with 1,521 videos, finding temporal alignment is the primary failure mode across 31 models.
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