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Collections including paper arxiv:2502.14258

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information

Paper • 2502.14258 • Published Feb 20 • 26
Language Modeling Is Compression

Paper • 2309.10668 • Published Sep 19, 2023 • 83
Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 39
Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 37

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 57
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 45
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models

Paper • 2502.15086 • Published Feb 20 • 16
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?

Paper • 2502.14502 • Published Feb 20 • 91
Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information

Paper • 2502.14258 • Published Feb 20 • 26
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning

Paper • 2502.12853 • Published Feb 18 • 29

Selective Attention Improves Transformer

Paper • 2410.02703 • Published Oct 3, 2024 • 25
Differential Transformer

Paper • 2410.05258 • Published Oct 7, 2024 • 179
TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention

Paper • 2410.05076 • Published Oct 7, 2024 • 8
SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Paper • 2410.13276 • Published Oct 17, 2024 • 29

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models

Paper • 2502.15086 • Published Feb 20 • 16
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?

Paper • 2502.14502 • Published Feb 20 • 91
Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information

Paper • 2502.14258 • Published Feb 20 • 26
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning

Paper • 2502.12853 • Published Feb 18 • 29

Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information

Paper • 2502.14258 • Published Feb 20 • 26
Language Modeling Is Compression

Paper • 2309.10668 • Published Sep 19, 2023 • 83
Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 39
Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 37

Selective Attention Improves Transformer

Paper • 2410.02703 • Published Oct 3, 2024 • 25
Differential Transformer

Paper • 2410.05258 • Published Oct 7, 2024 • 179
TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention

Paper • 2410.05076 • Published Oct 7, 2024 • 8
SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Paper • 2410.13276 • Published Oct 17, 2024 • 29

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 57
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 45
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

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