· ai
[Paper] Agentic Rubrics as Contextual Verifiers for SWE Agents
Verification is critical for improving agents: it provides the reward signal for Reinforcement Learning and enables inference-time gains through Test-Time Scali...
-
- · ai
[Paper] Agent Drift: Quantifying Behavioral Degradation in Multi-Agent LLM Systems Over Extended Interactions
Multi-agent Large Language Model (LLM) systems have emerged as powerful architectures for complex task decomposition and collaborative problem-solving. However,...
- · ai
[Paper] Clinical Data Goes MEDS? Let's OWL make sense of it
The application of machine learning on healthcare data is often hindered by the lack of standardized and semantically explicit representation, leading to limite...
- · ai
[Paper] Scanner-Induced Domain Shifts Undermine the Robustness of Pathology Foundation Models
Pathology foundation models (PFMs) have become central to computational pathology, aiming to offer general encoders for feature extraction from whole-slide imag...
- · ai
[Paper] All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection
We introduce RFC Bench, a benchmark for evaluating large language models on financial misinformation under realistic news. RFC Bench operates at the paragraph l...
- · ai
[Paper] ToTMNet: FFT-Accelerated Toeplitz Temporal Mixing Network for Lightweight Remote Photoplethysmography
Remote photoplethysmography (rPPG) estimates a blood volume pulse (BVP) waveform from facial videos captured by commodity cameras. Although recent deep models i...
- · ai
[Paper] FLEx: Language Modeling with Few-shot Language Explanations
Language models have become effective at a wide range of tasks, from math problem solving to open-domain question answering. However, they still make mistakes, ...
- · ai
[Paper] Diffusion-DRF: Differentiable Reward Flow for Video Diffusion Fine-Tuning
Direct Preference Optimization (DPO) has recently improved Text-to-Video (T2V) generation by enhancing visual fidelity and text alignment. However, current meth...
- · ai
[Paper] Klear: Unified Multi-Task Audio-Video Joint Generation
Audio-video joint generation has progressed rapidly, yet substantial challenges still remain. Non-commercial approaches still suffer audio-visual asynchrony, po...
- · ai
[Paper] A Theoretical and Empirical Taxonomy of Imbalance in Binary Classification
Class imbalance significantly degrades classification performance, yet its effects are rarely analyzed from a unified theoretical perspective. We propose a prin...
- · software
[Paper] Privacy at Scale in Networked Healthcare
Digitized, networked healthcare promises earlier detection, precision therapeutics, and continuous care; yet, it also expands the surface for privacy loss and c...
- · ai
[Paper] Wow, wo, val! A Comprehensive Embodied World Model Evaluation Turing Test
As world models gain momentum in Embodied AI, an increasing number of works explore using video foundation models as predictive world models for downstream embo...