M$^3$Eval: Multi-Modal Memory Evaluation through Cognitively-Grounded Video Tasks
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DeliChess: A Multi-party Dialogue Dataset for Deliberation in Chess Puzzle Solving
Geometry-Aware Distillation for Prompt Tuning Biomedical Vision-Language Models
'Your AI Text is not Mine': Redefining and Evaluating AI-generated Text Detection under R…
Learning Empirically Admissible Neural Heuristics for Combinatorial Search
Scenario Generation for Risk-Aware Reinforcement Learning with Probably Approximately Saf…
Activation Steering of Video Generation Models via Reduced-Order Linear Optimal Control
TIDE: Proactive Multi-Problem Discovery via Template-Guided Iteration
Learning Long Range Spatio-Temporal Representations over Continuous Time Dynamic Graphs w…
QuBLAST: A Framework for Quantizing Large Language Models with Block-Level Compression Ap…
Multi-SPIN: Multi-Access Speculative Inference for Cooperative Token Generation at the Ed…
Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language M…
Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework…
ChessMimic: Per-Rating Transformer Models for Human Move, Clock, and Outcome Prediction i…
CyberGym-E2E: Scalable Real-World Benchmark for AI Agents' End-to-End Cybersecurity Capab…
What If Prompt Injection Never Left? Exploring Cross-Session Stored Prompt Injection in A…
Selective Coupling of Decoupled Informative Regions: Masked Attention Alignment for Data-…
MorphoQuant: Modality-Aware Quantization for Omni-modal Large Language Models
A Geometric Characterization of the Stationary Plateau for Two-Layer Neural Networks
StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets
Recover-LoRA for Aggressive Quantization: Reclaiming Accuracy in 2-Bit Language Models vi…
DetectZoo: A Unified Toolkit for AI-Generated Content Detection Across Text, Audio, and I…
ADAPTOOD: Uncertainty-Aware Fine-Tuning for Out-of-Distribution ECG Time Series Models
Building The Ph(ysical)AI Layer Of Machine Intelligence
LLM Compression with Jointly Optimizing Architectural and Quantization choices
LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection
Unlocking Feature Learning in Gated Delta Networks at Scale
Bayes-Sufficient Representations in Supervised Learning
Position: Deployed Reinforcement Learning should be Continual
Gravity-Aware Hierarchical Routing for Lightweight SensorLLM on Human Activity Recognition