Author

Heng Ji

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Preprint Sep 2026

Does Video Memory Use What It Retrieves? A Causal Audit of Memory Specificity

Video models increasingly use memory to preserve information over long sequences, with the assumption that gains come from retrieving and using the correct past content. Standard memory ablations test whether memory helps, but not whether the retrieved content is responsible. We test this directly with read-time memory...

Aditi Tiwari, Akshit Bhalla, D. Prasad et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Agent Error Dataset: Scaling 50,000 Error--Diagnosis Pairs for Failure Analysis and Error-Aware Post-Training

An unsuccessful LLM agent rollout contains more information than its final reward: the observations available to the agent, the actions it chose, and the environment's responses. Reusing this experience for learning requires identifying a decision to revise and testing a concrete alternative. We introduce the Agent Err...

Kun-Lun Zhu, Xu-Yan Ye, Yi-Bo Li et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Competence-Gated Pooling of Language Models and Priors for Event Forecasting

A competence gate is introduced that estimates domain-level source weights from resolved outcomes, shrinks uncertain estimates toward a global weight, and recalibrates the pooled forecast and provides a practical approach for selective model use based on measured marginal value.

Aditi Tiwari, Aashrith Bandaru, Heng Ji · 0 citations