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Model Releases

AlphaEval: Evaluating Agents in Production

DGX agent

arXiv:2604.12162v1 Announce Type: new Abstract: The rapid deployment of AI agents in commercial settings has outpaced the development of evaluation methodologies that reflect production realities. Exi

model-releasesarxiv-cs-cl

15 Apr 2026

Research

An Optimal Sauer Lemma Over k-ary Alphabets

DGX agent

arXiv:2604.12952v1 Announce Type: new Abstract: The Sauer-Shelah-Perles Lemma is a cornerstone of combinatorics and learning theory, bounding the size of a binary hypothesis class in terms of its Vapn

All entries

AlphaEval: Evaluating Agents in Production

An Optimal Sauer Lemma Over k-ary Alphabets

Analyzing the Effect of Noise in LLM Fine-tuning

animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics

AnyPoC: Universal Proof-of-Concept Test Generation for Scalable LLM-Based Bug Detection

Are Video Reasoning Models Ready to Go Outside?

ARGen: Affect-Reinforced Generative Augmentation towards Vision-based Dynamic Emotion Perception

ARGOS: Who, Where, and When in Agentic Multi-Camera Person Search

ART-VITON: Measurement-Guided Latent Diffusion for Artifact-Free Virtual Try-On

ArtifactWorld: Scaling 3D Gaussian Splatting Artifact Restoration via Video Generation Models

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic

ASGuard: Activation-Scaling Guard to Mitigate Targeted Jailbreaking Attack

ASTRA: Let Arbitrary Subjects Transform in Video Editing

Asymptotically Stable Gait Generation and Instantaneous Walkability Determination for Planar Almost Linear Biped with Knees

Audio Source Separation in Reverberant Environments using eta-divergence based Nonnegative Factorization

Automatic Road Subsurface Distress Recognition from Ground Penetrating Radar Images using Deep Learning-based Cross-verification

AutoSurrogate: An LLM-Driven Multi-Agent Framework for Autonomous Construction of Deep Learning Surrogate Models in Subsurface Flow

BarbieGait: An Identity-Consistent Synthetic Human Dataset with Versatile Cloth-Changing for Gait Recognition

BayMOTH: Bayesian optiMizatiOn with meTa-lookahead -- a simple approacH

[b]=[d]-[t]+[p]: Self-supervised Speech Models Discover Phonological Vector Arithmetic

BEAM: Bi-level Memory-adaptive Algorithmic Evolution for LLM-Powered Heuristic Design

Benchmarking Deflection and Hallucination in Large Vision-Language Models

Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving

Beyond Factual Grounding: The Case for Opinion-Aware Retrieval-Augmented Generation

Beyond Majority Voting: Efficient Best-Of-N with Radial Consensus Score

Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks

Beyond Perception Errors: Semantic Fixation in Large Vision-Language Models

Beyond Prompt: Fine-grained Simulation of Cognitively Impaired Standardized Patients via Stochastic Steering

Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage

Beyond Scores: Diagnostic LLM Evaluation via Fine-Grained Abilities

Beyond Single-Dimension Novelty: How Combinations of Theory, Method, and Results-based Novelty Shape Scientific Impact

Beyond Static Sandboxing: Learned Capability Governance for Autonomous AI Agents

Beyond Transcription: Unified Audio Schema for Perception-Aware AudioLLMs

Beyond Weather Correlation: A Comparative Study of Static and Temporal Neural Architectures for Fine-Grained Residential Energy Consumption Forecasting in Melbourne, Australia

BID-LoRA: A Parameter-Efficient Framework for Continual Learning and Unlearning

Bilevel Late Acceptance Hill Climbing for the Electric Capacitated Vehicle Routing Problem

BIND-USBL: Bounding IMU Navigation Drift using USBL in Heterogeneous ASV-AUV Teams

BINDER: Instantly Adaptive Mobile Manipulation with Open-Vocabulary Commands

Bipedal-Walking-Dynamics Model on Granular Terrains

Black-Box Optimization From Small Offline Datasets via Meta Learning with Synthetic Tasks

BLOSSOM: Block-wise Federated Learning Over Shared and Sparse Observed Modalities

Boosting Robust AIGI Detection with LoRA-based Pairwise Training

Boosting Visual Instruction Tuning with Self-Supervised Guidance

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding

Brain-DiT: A Universal Multi-state fMRI Foundation Model with Metadata-Conditioned Pretraining

Bridging the Micro--Macro Gap: Frequency-Aware Semantic Alignment for Image Manipulation Localization

Broadening the Applicability of Conditional Syntax Splitting for Reasoning from Conditional Belief Bases

Building evidence-based knowledge bases from full-text literature for disease-specific biomedical reasoning