AI Research Papers Daily

Emerging Properties in Unified Multimodal Pretraining

SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training

VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank

Visual Agentic Reinforcement Fine-Tuning

The Aloe Family Recipe for Open and Specialized Healthcare LLMs

Optimizing Anytime Reasoning via Budget Relative Policy Optimization

Neurosymbolic Diffusion Models

Latent Flow Transformer

Exploring Federated Pruning for Large Language Models

Visionary-R1: Mitigating Shortcuts in Visual Reasoning with Reinforcement Learning

General-Reasoner: Advancing LLM Reasoning Across All Domains

Reasoning Models Better Express Their Confidence

Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM Reasoning

Training-Free Watermarking for Autoregressive Image Generation

VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation

CS-Sum: A Benchmark for Code-Switching Dialogue Summarization and the Limits of Large Language Models

NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search

Think Only When You Need with Large Hybrid-Reasoning Models

Reward Reasoning Model

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model

Fine-tuning Quantized Neural Networks with Zeroth-order Optimization

Not All Correct Answers Are Equal: Why Your Distillation Source Matters

SSR: Enhancing Depth Perception in Vision-Language Models via Rationale-Guided Spatial Reasoning

Lessons from Defending Gemini Against Indirect Prompt Injections

Towards eliciting latent knowledge from LLMs with mechanistic interpretability

Warm Up Before You Train: Unlocking General Reasoning in Resource-Constrained Settings

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training

Fixing 7,400 Bugs for 1$: Cheap Crash-Site Program Repair

Truth Neurons

Phare: A Safety Probe for Large Language Models

MIGRATION-BENCH: Repository-Level Code Migration Benchmark from Java 8

CompeteSMoE -- Statistically Guaranteed Mixture of Experts Training via Competition

Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative Verifier

Tokenization Constraints in LLMs: A Study of Symbolic and Arithmetic Reasoning Limits

To Bias or Not to Bias: Detecting bias in News with bias-detector

Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection

Masking in Multi-hop QA: An Analysis of How Language Models Perform with Context Permutation

Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligence

Understanding Gen Alpha Digital Language: Evaluation of LLM Safety Systems for Content Moderation

Object-Centric Representations Improve Policy Generalization in Robot Manipulation