Controllable Multi-label Video Safety Detection via Adaptive Tversky Policy Optimization
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New papers, breakthroughs and academic AI research
Old Ideas, Novel Problems: The Instability of LLM-Based Novelty Evaluation
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Typological Alignment of Stack-Based Language Models on Mildly Context-Sensitive Artificial Languages
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Scalable, Transferable Meta-network for Data Selection Requires a Different Loss (and Why the Obvious Choice is Problematic)
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Keyword Harnesses Fail Open: A Cheap Diagnostic Ladder for Tool-Use Claims in Small Language Models
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Before It Fades: Reinforcing Temporal Representations at Inference Time in VideoLLMs
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LLM2Jev: LLMs Are Already Jev-Style Decision Models -- When and How to Fine-Tune Them
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Argo-Bench: Evaluating Data Agents on Enterprise-Scale Workflows
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Reward as Observation: Learning Reward-Based Policies for Rapid Adaptation
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AutoCompact: Learning When to Compact Context in Long-Horizon Coding Agents
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SALD: Self-Referenced Advantage Learning for Diffusion Models
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VTR-Bench: A Systematic Benchmark for Evaluating Visual Text Rendering in Video Generation
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