Large Language Diffusion Models
Paper
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2502.09992
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Published
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122
HF Daily
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MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
Paper • 2502.10391 • Published • 34 -
Diverse Inference and Verification for Advanced Reasoning
Paper • 2502.09955 • Published • 18 -
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models
Paper • 2502.08130 • Published • 9 -
Jailbreaking to Jailbreak
Paper • 2502.09638 • Published • 5 -
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
Paper • 2502.11089 • Published • 165 -
ReLearn: Unlearning via Learning for Large Language Models
Paper • 2502.11190 • Published • 30 -
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
Paper • 2502.11196 • Published • 23 -
CRANE: Reasoning with constrained LLM generation
Paper • 2502.09061 • Published • 21 -
One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs
Paper • 2502.10454 • Published • 7 -
Dyve: Thinking Fast and Slow for Dynamic Process Verification
Paper • 2502.11157 • Published • 7 -
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking
Paper • 2502.09083 • Published • 4 -
Continuous Diffusion Model for Language Modeling
Paper • 2502.11564 • Published • 53 -
Rethinking Diverse Human Preference Learning through Principal Component Analysis
Paper • 2502.13131 • Published • 37 -
SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models
Paper • 2502.12464 • Published • 28 -
Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
Paper • 2502.12215 • Published • 16 -
HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading
Paper • 2502.12574 • Published • 12 -
The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1
Paper • 2502.12659 • Published • 7 -
Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey
Paper • 2502.10708 • Published • 4 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 207 -
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective
Paper • 2502.14296 • Published • 45 -
Small Models Struggle to Learn from Strong Reasoners
Paper • 2502.12143 • Published • 39 -
LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
Paper • 2502.13922 • Published • 28 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 192 -
From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
Paper • 2502.14802 • Published • 13 -
RLPR: Extrapolating RLVR to General Domains without Verifiers
Paper • 2506.18254 • Published • 31 -
RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models
Paper • 2506.18369 • Published • 2 -
LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning
Paper • 2506.18841 • Published • 56 -
Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset
Paper • 2506.18851 • Published • 30 -
ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs
Paper • 2506.18896 • Published • 29 -
Robust Reward Modeling via Causal Rubrics
Paper • 2506.16507 • Published • 9 -
SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning
Paper • 2506.19767 • Published • 14 -
OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling
Paper • 2506.20512 • Published • 47 -
ReCode: Updating Code API Knowledge with Reinforcement Learning
Paper • 2506.20495 • Published • 9 -
MMSearch-R1: Incentivizing LMMs to Search
Paper • 2506.20670 • Published • 64 -
Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge
Paper • 2506.21506 • Published • 51 -
Deep Researcher with Test-Time Diffusion
Paper • 2507.16075 • Published • 64 -
MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents
Paper • 2507.19478 • Published • 30 -
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Paper • 2507.19457 • Published • 28 -
Agentic Reinforced Policy Optimization
Paper • 2507.19849 • Published • 156 -
A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence
Paper • 2507.21046 • Published • 81 -
Geometric-Mean Policy Optimization
Paper • 2507.20673 • Published • 31 -
Goal Alignment in LLM-Based User Simulators for Conversational AI
Paper • 2507.20152 • Published • 4 -
Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty
Paper • 2507.16806 • Published • 6 -
MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge
Paper • 2507.21183 • Published • 14 -
Persona Vectors: Monitoring and Controlling Character Traits in Language Models
Paper • 2507.21509 • Published • 32 -
VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning
Paper • 2507.22607 • Published • 46 -
MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE
Paper • 2507.21802 • Published • 15