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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 91 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 103 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 58 -
Do language models plan ahead for future tokens?
Paper • 2404.00859 • Published • 2
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Collections including paper arxiv:2404.03715
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The Unreasonable Ineffectiveness of the Deeper Layers
Paper • 2403.17887 • Published • 75 -
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 102 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 74 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 58
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Can large language models explore in-context?
Paper • 2403.15371 • Published • 30 -
Advancing LLM Reasoning Generalists with Preference Trees
Paper • 2404.02078 • Published • 41 -
Long-context LLMs Struggle with Long In-context Learning
Paper • 2404.02060 • Published • 33 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 58
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Can large language models explore in-context?
Paper • 2403.15371 • Published • 30 -
GaussianCube: Structuring Gaussian Splatting using Optimal Transport for 3D Generative Modeling
Paper • 2403.19655 • Published • 15 -
WavLLM: Towards Robust and Adaptive Speech Large Language Model
Paper • 2404.00656 • Published • 6 -
Enabling Memory Safety of C Programs using LLMs
Paper • 2404.01096 • Published • 1
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 568 -
Yi: Open Foundation Models by 01.AI
Paper • 2403.04652 • Published • 59 -
Simple and Scalable Strategies to Continually Pre-train Large Language Models
Paper • 2403.08763 • Published • 48 -
Stealing Part of a Production Language Model
Paper • 2403.06634 • Published • 86
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 50 -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 46 -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 126 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 17
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Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 8 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 91 -
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization
Paper • 2402.09320 • Published • 6 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 103
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LoRA+: Efficient Low Rank Adaptation of Large Models
Paper • 2402.12354 • Published • 5 -
The FinBen: An Holistic Financial Benchmark for Large Language Models
Paper • 2402.12659 • Published • 13 -
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Paper • 2402.13249 • Published • 10 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 62