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Research

Eluder dimension: localise it!

DGX agent

arXiv:2601.09825v2 Announce Type: replace Abstract: We establish a lower bound on the eluder dimension of generalised linear model classes, showing that standard eluder dimension-based analysis cannot

researcharxiv-cs-lg

21 Apr 2026

Model Releases

Embedding Arithmetic: A Lightweight, Tuning-Free Framework for Post-hoc Bias Mitigation in Text-to-Image Models

DGX agent

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Eluder dimension: localise it!

Embedding Arithmetic: A Lightweight, Tuning-Free Framework for Post-hoc Bias Mitigation in Text-to-Image Models

EmbodiedHead: Real-Time Listening and Speaking Avatar for Conversational Agents

EmbodiedLGR: Integrating Lightweight Graph Representation and Retrieval for Semantic-Spatial Memory in Robotic Agents

EmbodiTTA: Resource-Efficient Test-Time Adaptation for Embodied Visual Systems

Emergency Stopping for Liquid-manipulating Robots

Emergent Misalignment via In-Context Learning: Narrow in-context examples can produce broadly misaligned LLMs

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models

emg2speech: Synthesizing speech from electromyography using self-supervised speech models

Emotion Collider: Dual Hyperbolic Mirror Manifolds for Sentiment Recovery via Anti Emotion Reflection

EmoVerse: A MLLMs-Driven Emotion Representation Dataset for Interpretable Visual Emotion Analysis

Employing General-Purpose and Biomedical Large Language Models with Advanced Prompt Engineering for Pharmacoepidemiologic Study Design

Empowering Multi-Turn Tool-Integrated Agentic Reasoning with Group Turn Policy Optimization

Enabling AI ASICs for Zero Knowledge Proof

Enabling Stroke-Level Structural Analysis of Hieroglyphic Scripts without Language-Specific Priors

End-to-end Listen, Look, Speak and Act

End-to-End Optimization of LLM-Driven Multi-Agent Search Systems via Heterogeneous-Group-Based Reinforcement Learning

Enhancing Anomaly-Based Intrusion Detection Systems with Process Mining

Enhancing classification accuracy through chaos

Enhancing Continual Learning of Vision-Language Models via Dynamic Prefix Weighting

Enhancing Glass Surface Reconstruction via Depth Prior for Robot Navigation

Enhancing Trust in Large Language Models via Uncertainty-Calibrated Fine-Tuning

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM

Ensemble Deep Learning Models for Early Detection of Meningitis in ICU: Multi-center Study

ENTIRE: Learning-based Volume Rendering Time Prediction

Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs

Erasing Thousands of Concepts: Towards Scalable and Practical Concept Erasure for Text-to-Image Diffusion Models

Error as Signal: Stiffness-Aware Diffusion Sampling via Embedded Runge-Kutta Guidance

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

ESsEN: Training Compact Discriminative Vision-Language Transformers in a Low-Resource Setting

Establishing a Scale for Kullback-Leibler Divergence in Language Models Across Various Settings

Estimating Commonsense Plausibility through Semantic Shifts

Evalet: Evaluating Large Language Models through Functional Fragmentation

Evaluating Adaptive Personalization of Educational Readings with Simulated Learners

Evaluating Multimodal LLMs for Inpatient Diagnosis: Real-World Performance, Safety, and Cost Across Ten Frontier Models

Evaluating Temporal and Structural Anomaly Detection Paradigms for DDoS Traffic

Evaluating the Impact of Verbal Multiword Expressions on Machine Translation

Evaluating Tool-Using Language Agents: Judge Reliability, Propagation Cascades, and Runtime Mitigation in AgentProp-Bench

EVE: Verifiable Self-Evolution of MLLMs via Executable Visual Transformations

Evidence-Augmented Policy Optimization with Reward Co-Evolution for Long-Context Reasoning

EvoComp: Learning Visual Token Compression for Multimodal Large Language Models via Semantic-Guided Evolutionary Labeling

EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning

Evolutionary Negative Module Pruning for Better LoRA Merging

ExAI5G: A Logic-Based Explainable AI Framework for Intrusion Detection in 5G Networks

Examining Fast Radiatively Driven Responses Using Machine-Learning Weather Emulators

Expert-Annotated Embryo Image Dataset with Natural Language Descriptions for Evidence-Based Patient Communication in IVF

Explaining Uncertainty in Multiple Sclerosis Cortical Lesion Segmentation Beyond Prediction Errors

Explanation Bias is a Product: Revealing the Hidden Lexical and Position Preferences in Post-Hoc Feature Attribution