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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 150 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2404.03592
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Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
Paper • 2506.01939 • Published • 165 -
Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement
Paper • 2505.23183 • Published • 2 -
Improved Representation Steering for Language Models
Paper • 2505.20809 • Published • 1 -
SAEs Are Good for Steering -- If You Select the Right Features
Paper • 2505.20063 • Published • 1
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Extending Llama-3's Context Ten-Fold Overnight
Paper • 2404.19553 • Published • 35 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 99 -
Why do small language models underperform? Studying Language Model Saturation via the Softmax Bottleneck
Paper • 2404.07647 • Published • 4 -
SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning
Paper • 2401.07950 • Published • 4
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Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 10 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
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 • 116
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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 56 -
Make Your LLM Fully Utilize the Context
Paper • 2404.16811 • Published • 55 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 99
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Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 94 -
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Paper • 2404.10667 • Published • 20 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 27 -
DoRA: Weight-Decomposed Low-Rank Adaptation
Paper • 2402.09353 • Published • 27
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 150 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 10 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
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 • 116
-
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
Paper • 2506.01939 • Published • 165 -
Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement
Paper • 2505.23183 • Published • 2 -
Improved Representation Steering for Language Models
Paper • 2505.20809 • Published • 1 -
SAEs Are Good for Steering -- If You Select the Right Features
Paper • 2505.20063 • Published • 1
-
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 56 -
Make Your LLM Fully Utilize the Context
Paper • 2404.16811 • Published • 55 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 99
-
Extending Llama-3's Context Ten-Fold Overnight
Paper • 2404.19553 • Published • 35 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 99 -
Why do small language models underperform? Studying Language Model Saturation via the Softmax Bottleneck
Paper • 2404.07647 • Published • 4 -
SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning
Paper • 2401.07950 • Published • 4
-
Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 94 -
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Paper • 2404.10667 • Published • 20 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 27 -
DoRA: Weight-Decomposed Low-Rank Adaptation
Paper • 2402.09353 • Published • 27