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6 days ago
6 days ago
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Discover the best community collections!
Collections including paper arxiv:2407.10671
Collection by
21 days ago
21 days ago
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Large Language Model Unlearning via Embedding-Corrupted Prompts
Paper • 2406.07933 • Published • 6 -
Block Transformer: Global-to-Local Language Modeling for Fast Inference
Paper • 2406.02657 • Published • 36 -
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
Paper • 2406.12050 • Published • 16 -
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Paper • 2406.11813 • Published • 29
Collection by
8 days ago
8 days ago
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MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
Paper • 2311.17049 • Published -
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 13 -
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision
Paper • 2303.17376 • Published -
Sigmoid Loss for Language Image Pre-Training
Paper • 2303.15343 • Published • 4
Collection by
Jul 16
Jul 16
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XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference
Paper • 2404.15420 • Published • 7 -
OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework
Paper • 2404.14619 • Published • 124 -
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 250 -
How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study
Paper • 2404.14047 • Published • 43
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Jul 16
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Jul 23
Jul 23
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CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
Paper • 2404.03543 • Published • 15 -
McEval: Massively Multilingual Code Evaluation
Paper • 2406.07436 • Published • 39 -
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
Paper • 2406.15877 • Published • 45 -
Qwen2 Technical Report
Paper • 2407.10671 • Published • 153
Collection by
Jul 16
Jul 16
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Challenge LLMs to Reason About Reasoning: A Benchmark to Unveil Cognitive Depth in LLMs
Paper • 2312.17080 • Published • 1 -
Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B
Paper • 2406.07394 • Published • 21 -
Qwen2 Technical Report
Paper • 2407.10671 • Published • 153
Collection by
Jul 16
Jul 16
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InternLM2 Technical Report
Paper • 2403.17297 • Published • 28 -
sDPO: Don't Use Your Data All at Once
Paper • 2403.19270 • Published • 38 -
Learn Your Reference Model for Real Good Alignment
Paper • 2404.09656 • Published • 82 -
OpenBezoar: Small, Cost-Effective and Open Models Trained on Mixes of Instruction Data
Paper • 2404.12195 • Published • 11
Collection by
Jul 16
Jul 16
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GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Paper • 2305.13245 • Published • 5 -
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
Paper • 2404.12387 • Published • 38 -
OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework
Paper • 2404.14619 • Published • 124 -
Qwen2 Technical Report
Paper • 2407.10671 • Published • 153