Large Language Diffusion Models
Paper
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2502.09992
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Published
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99
HF Daily
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MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
Paper • 2502.10391 • Published • 31 -
Diverse Inference and Verification for Advanced Reasoning
Paper • 2502.09955 • Published • 17 -
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models
Paper • 2502.08130 • Published • 9 -
Jailbreaking to Jailbreak
Paper • 2502.09638 • Published • 4 -
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
Paper • 2502.11089 • Published • 141 -
ReLearn: Unlearning via Learning for Large Language Models
Paper • 2502.11190 • Published • 29 -
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
Paper • 2502.11196 • Published • 22 -
CRANE: Reasoning with constrained LLM generation
Paper • 2502.09061 • Published • 18 -
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 • 6 -
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 • 50 -
Rethinking Diverse Human Preference Learning through Principal Component Analysis
Paper • 2502.13131 • Published • 35 -
SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models
Paper • 2502.12464 • Published • 27 -
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 • 11 -
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 • 157 -
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 • 28 -
LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
Paper • 2502.13922 • Published • 25 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 177 -
From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
Paper • 2502.14802 • Published • 11