Cost-Aware Query Routing in RAG: Empirical Analysis of Retrieval Depth Tradeoffs
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Imaginative Perception Tokens Enhance Spatial Reasoning in Multimodal Language Models
Entropy Is Not Enough: Unlocking Effective Reinforcement Learning for Visual Reasoning vi…
Cross-Modal Contrastive Learning of ECG and Angiography Representations for Severe Stenos…
TadA-Bench: A Million-Variant Benchmark for Future-Round Discovery Toward Agentic Protein…
Closed-Loop Molecular Design with Calibrated Deference
CARVE: Certified Affordable Repair of Vetoed Maneuvers via Envelopes for Interactive Driv…
Sparse-View Lung Nodule Volumetry from Digitally Reconstructed Radiographs via AReT: Anat…
SegTune: Structured and Fine-Grained Control for Song Generation
The Ringelmann Effect in Multi-Agent LLM Systems: A Scaling Law for Effective Team Size
Target Updates May Stabilize Linear Q-Learning: Periodic and Soft Dynamics
AdaWeather: Adaptively Mixing Probabilistic Weather Forecasts with Logarithmic Regret
Learning to Refine: Spectral-Decoupled Iterative Refinement Framework for Precipitation N…
EvoDS: Self-Evolving Autonomous Data Science Agent with Skill Learning and Context Manage…
AVTrack: Audio-Visual Tracking in Human-centric Complex Scenes
Aligning Data-Driven Predictors with Allocation: A Decision-Focused Approach to Survival …
Plan2Map: A Multimodal Benchmark for Document-Grounded Geospatial Boundary Reconstruction…
Attention Calibration for Position-Fair Dense Information Retrieval
CRAM-ER: Error-Resilient Spintronic Computational Random Access Memory for Scalable In-Me…
Representational Capacity: Geometric Limits on Feature Representation in Transformer Lang…
Acceptance-Test-Driven Evaluation Protocols for Business-Centric LLM Systems
Fixing FOLIO and MALLS: Verified Annotations and an LLM-assisted Framework to Focus Human…
Large Byte Model: Teaching Language Models About Compiled Code
PSViT: A Methodology for Structurally Pruning Spiking Vision Transformers
The Epi-LLM Framework: probing LLM behavioral priors through epidemiological agent-based …
Forgetting is Not Erasure: Recovering Latent Knowledge via Transport Keys
Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions
Scalable Uncertainty Quantification for Extreme Weather Forecasting via Empirical Neural …
LLM-Assisted Reranking to Operationalize Nuanced Objectives in Recommender Systems
Linear Probes Detect Task Format, Not Reasoning Mode in Language Model Hidden States