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PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
Paper • 2402.08714 • Published • 14 -
Data Engineering for Scaling Language Models to 128K Context
Paper • 2402.10171 • Published • 25 -
RLVF: Learning from Verbal Feedback without Overgeneralization
Paper • 2402.10893 • Published • 12 -
Coercing LLMs to do and reveal (almost) anything
Paper • 2402.14020 • Published • 13
Collections
Discover the best community collections!
Collections including paper arxiv:2402.14289
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 53 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 19 -
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition
Paper • 2402.15220 • Published • 19 -
Linear Transformers are Versatile In-Context Learners
Paper • 2402.14180 • Published • 6
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 146 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 30 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 23 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
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Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
Paper • 2401.02994 • Published • 49 -
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Paper • 2401.05566 • Published • 29 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69 -
Zero Bubble Pipeline Parallelism
Paper • 2401.10241 • Published • 24
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Extending Context Window of Large Language Models via Semantic Compression
Paper • 2312.09571 • Published • 15 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 50 -
LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models
Paper • 2312.02949 • Published • 14 -
TinyLLaVA: A Framework of Small-scale Large Multimodal Models
Paper • 2402.14289 • Published • 19
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Woodpecker: Hallucination Correction for Multimodal Large Language Models
Paper • 2310.16045 • Published • 16 -
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models
Paper • 2310.14566 • Published • 27 -
SILC: Improving Vision Language Pretraining with Self-Distillation
Paper • 2310.13355 • Published • 9 -
Conditional Diffusion Distillation
Paper • 2310.01407 • Published • 20