Style Wins, Substance Loses: A Diagnosis of LLM-as-Judge in Idea Generation
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Noticias de IA
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Few-Shot Concept Prompt Learning for Segmentation Foundation Models via Visual Grounding
SyncPlan: Long-Horizon LLM Coordination with Explicit Synchronization and Adaptive Correc…
CRAFT: Compression via Recursive Adaptive Fusion of Video Tokens for Vision-Language Mode…
AI-assisted Script Management for Requirements Elicitation Interviews
QWRF-Net: A Quantum-Wavelet Framework with Rectified Flow for Short-Term Precipitation No…
Linear Multi-Timescale Retention as a Memory-Efficient Vision-Language Bridge
PICTURE: Enhancing Theory-of-Mind in Large Language Models by Revealing, Not Hiding, Char…
The Label Defines the Timescale: Trait-State Limits of Temporal-Aggregate Learning
Measuring in-context algorithmic reasoning in language models against an exact Bayes-opti…
Rethinking Personalized Reward Modeling for LLMs under Preference Heterogeneity via Group…
Question Begets Question: Self-Evolving Curriculum for Reinforcement Fine-Tuning on Compe…
Deep Agentic Search for Repository-Level Code Question Answering: An Empirical Study
Rapid Embodiment Adaptation for Quadrupedal Locomotion
Retrieval Augmented Biomedical Question Answering with Weak Question Recovery and Neural …
When Replanning Becomes the Bottleneck: Budgeted Replanning for Embodied Agents
Demystifying When and Why VLAs Fail in Contact-Rich Tasks and How to Fix Them
TabDPT-Turbo: Efficient In-Context Learning for Tabular Prediction
Imprecise Belief Fusion Improves Multi-agent Social Learning
Asking Questions the Right Way: A Multi-Agent Conversational System for Prompt Formulatio…
Spatiotemporal Proximal Causal Inference under Hidden Confounding and Interference
LongChart VQA: A Comprehensive Benchmark for MLLMs with Complex Multi-Chart Reasoning
Context Compaction Theory
Dense Language Generation Made Simple: Deterministic, Randomized, and Multi-Order Algorit…
Ranking Image Fusion the Way Humans Do: A Learned Pairwise Preference Metric for Infrared…
UDT: Reconciling U-Nets and Diffusion Transformers with Data-Adaptive Token Reduction
Training nGPT
Rethinking Video Token Compression with a Global Codebook: Learning Once, Compressing Eve…
It's the Decoding Format, Not the Perturbation: Auditing Consistency-Based Selection for …
ReBRAC-v2: The Return of the King