AI Research Papers Daily

WorldGenBench: A World-Knowledge-Integrated Benchmark for Reasoning-Driven Text-to-Image Generation

Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-Play

RM-R1: Reward Modeling as Reasoning

Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers

FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models

ReplaceMe: Network Simplification via Layer Pruning and Linear Transformations

Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL

Practical Efficiency of Muon for Pretraining

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

A Survey on Inference Engines for Large Language Models: Perspectives on Optimization and Efficiency

Think on your Feet: Adaptive Thinking via Reinforcement Learning for Social Agents

SkillMimic-V2: Learning Robust and Generalizable Interaction Skills from Sparse and Noisy Demonstrations

Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

SuperEdit: Rectifying and Facilitating Supervision for Instruction-Based Image Editing

Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction

TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action

LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis

MUSAR: Exploring Multi-Subject Customization from Single-Subject Dataset via Attention Routing

Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields

Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation