SACQ: Structured Decoding with Memory-Conditioned Refinement for Long-Horizon Forecasting
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New papers, breakthroughs and academic AI research
Complexity of Grounded Semantics and Preferred Semantics in Finitary Argumentation Frameworks
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Detecting Spin in Clinical Trials with Large Language Models
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Forms of LLM-Integrated Applications from LLM-Chats to Autonomous AI Agent System
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Universal Textual Teaching for LLMs
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PulseBound: Future-Beat State Forecasting Under an Explicit Information Boundary
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InterviewPlayground: A Simulation Environment for Evaluating AI Interviewers
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Use and Disuse: Intent-Structured Experience Consolidation for Memory and Learning in LLM Agents
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DPPM: Dual-Path Parametric Memory for Personalized Language Models
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From Sparse Representations to Behavioral Insights for Multimodal Depression Assessment
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An Investigation of Model Coherence: Narrow Finetunes Contradict Themselves Under Resampling
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Easy to anticipate, hard to compute: boundary dependence finds the computed outputs that entropy patching misses
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