Collection by
Feb 7
Feb 7
Collections
Discover the best community collections!
Collections including paper arxiv:2402.03620
Collection by
3 days ago
3 days ago
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Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 15 -
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation
Paper • 2401.15688 • Published • 10 -
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 62 -
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities
Paper • 2401.15071 • Published • 33
Collection by
18 days ago
18 days ago
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 20 -
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 15 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 27 -
The Impact of Reasoning Step Length on Large Language Models
Paper • 2401.04925 • Published • 15
Collection by
Feb 9
Feb 9
Collection by
Mar 30
Mar 30
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Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 15 -
Transforming and Combining Rewards for Aligning Large Language Models
Paper • 2402.00742 • Published • 11 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 63 -
Specialized Language Models with Cheap Inference from Limited Domain Data
Paper • 2402.01093 • Published • 45
Collection by
Mar 28
Mar 28
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Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
Paper • 2302.09664 • Published • 2 -
Shortened LLaMA: A Simple Depth Pruning for Large Language Models
Paper • 2402.02834 • Published • 11 -
Rethinking Optimization and Architecture for Tiny Language Models
Paper • 2402.02791 • Published • 12 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 104
Collection by
Apr 24
Apr 24
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Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
Paper • 2212.14024 • Published • 3 -
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 28 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 31 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 2
Collection by
Feb 19
Feb 19
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Learning Universal Predictors
Paper • 2401.14953 • Published • 18 -
Anything in Any Scene: Photorealistic Video Object Insertion
Paper • 2401.17509 • Published • 16 -
SymbolicAI: A framework for logic-based approaches combining generative models and solvers
Paper • 2402.00854 • Published • 18 -
StrokeNUWA: Tokenizing Strokes for Vector Graphic Synthesis
Paper • 2401.17093 • Published • 18
Collection by
Feb 10
Feb 10
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MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 41 -
YOLO-World: Real-Time Open-Vocabulary Object Detection
Paper • 2401.17270 • Published • 30 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 104
Collection by
about 14 hours ago
about 14 hours ago
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 135 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 27 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 19 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 62