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Self-Reflection in LLM Agents: Effects on Problem-Solving Performance
Paper • 2405.06682 • Published • 3 -
Self-Refine: Iterative Refinement with Self-Feedback
Paper • 2303.17651 • Published • 2 -
Rethinking Chain-of-Thought from the Perspective of Self-Training
Paper • 2412.10827 • Published -
Reflexion: Language Agents with Verbal Reinforcement Learning
Paper • 2303.11366 • Published • 5
Melisa Russak
melisa
AI & ML interests
I love definitions
Recent Activity
updated
a model
6 days ago
Writer/colab
updated
a model
8 days ago
melisa/results_bert
published
a model
8 days ago
melisa/results_bert
Organizations
Self-improving LLMs
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Self-Taught Self-Correction for Small Language Models
Paper • 2503.08681 • Published • 15 -
Self-Improving Robust Preference Optimization
Paper • 2406.01660 • Published • 20 -
LADDER: Self-Improving LLMs Through Recursive Problem Decomposition
Paper • 2503.00735 • Published • 22 -
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge
Paper • 2407.19594 • Published • 21
Model Merging
Daily Papers 2025
Daily Papers
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Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 21 -
Linear Transformers with Learnable Kernel Functions are Better In-Context Models
Paper • 2402.10644 • Published • 82 -
Repeat After Me: Transformers are Better than State Space Models at Copying
Paper • 2402.01032 • Published • 25 -
Zoology: Measuring and Improving Recall in Efficient Language Models
Paper • 2312.04927 • Published • 2
lshort-transformers
Papers useful when writing the paper: "The Not So Short Transfromers"
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ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 66 -
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 74 -
Your Transformer is Secretly Linear
Paper • 2405.12250 • Published • 159 -
Yi: Open Foundation Models by 01.AI
Paper • 2403.04652 • Published • 66
self-reflection papers
-
Self-Reflection in LLM Agents: Effects on Problem-Solving Performance
Paper • 2405.06682 • Published • 3 -
Self-Refine: Iterative Refinement with Self-Feedback
Paper • 2303.17651 • Published • 2 -
Rethinking Chain-of-Thought from the Perspective of Self-Training
Paper • 2412.10827 • Published -
Reflexion: Language Agents with Verbal Reinforcement Learning
Paper • 2303.11366 • Published • 5
Daily Papers 2025
Self-improving LLMs
-
Self-Taught Self-Correction for Small Language Models
Paper • 2503.08681 • Published • 15 -
Self-Improving Robust Preference Optimization
Paper • 2406.01660 • Published • 20 -
LADDER: Self-Improving LLMs Through Recursive Problem Decomposition
Paper • 2503.00735 • Published • 22 -
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge
Paper • 2407.19594 • Published • 21
Daily Papers
-
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 21 -
Linear Transformers with Learnable Kernel Functions are Better In-Context Models
Paper • 2402.10644 • Published • 82 -
Repeat After Me: Transformers are Better than State Space Models at Copying
Paper • 2402.01032 • Published • 25 -
Zoology: Measuring and Improving Recall in Efficient Language Models
Paper • 2312.04927 • Published • 2
Model Merging
lshort-transformers
Papers useful when writing the paper: "The Not So Short Transfromers"
-
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 66 -
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 74 -
Your Transformer is Secretly Linear
Paper • 2405.12250 • Published • 159 -
Yi: Open Foundation Models by 01.AI
Paper • 2403.04652 • Published • 66