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Feeling of Knowing in Large Language Models

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UniFlow: Unified Multi-Scale Flow Matching for Time Series Generation

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PaySeqGen: Interpretable Inverse Reinforcement Learning for Fraud Sequence Generation

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Natural Textual Unlearnable Examples for Large Vision Language Models

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LoCo: Local Preference Learning for Reasoning Compression

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AgenticFinBench: Benchmarking Financial Agents on Diverse Real-World Tasks

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RAHC: Rule-Augmented Hyper-Relational Knowledge Graph Completion for Materials Synthesis

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Asymptotic Optimality of cμ-Rule for LLM Inference Scheduling under Memory Constraint

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Dependence-Aware Belief Propagation for Unsupervised Truth Discovery Among Correlated AI Agents

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Density-Aware Reward Scaling for Diverse High-Reward Outcomes in RL

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ReSI-Math: Recoverable Capability Frontiers for Efficient Reasoning Improvement

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Kierston & KierstonBench: Simulated City Benchmark for AI in Crime Investigation

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Logprob Reduction Fails to Verify Causal PII Suppression in LLMs

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Replica-Aware Split Inference for Edge IoT Systems

Nov 4, 202640

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TactiNavi: Serving and Revising an LLM Game Coach with Explicit Strategy Conditions

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Input-Dependent Activation Steering Outperforms Fixed Directions When Destination Varies Within Class

Nov 4, 202650

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TAPES: Task-Aligned Joint Predictive Pretraining for Transaction Event Sequences

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Cycle WAM: Coupling Action and Video through Cycle Consistency

Nov 4, 202650