Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Paper
•
2304.09842
•
Published
•
2
Papers (I want) To Read
A list of papers on my reading list.
-
-
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 26 -
Gorilla: Large Language Model Connected with Massive APIs
Paper • 2305.15334 • Published • 5 -
Reflexion: Language Agents with Verbal Reinforcement Learning
Paper • 2303.11366 • Published • 5 -
Generative Adversarial Networks
Paper • 1406.2661 • Published • 4 -
Playing Atari with Deep Reinforcement Learning
Paper • 1312.5602 • Published -
Proximal Policy Optimization Algorithms
Paper • 1707.06347 • Published • 8 -
Fine-Tuning Language Models from Human Preferences
Paper • 1909.08593 • Published • 3 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 17 -
Self-Refine: Iterative Refinement with Self-Feedback
Paper • 2303.17651 • Published • 2 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 13 -
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace
Paper • 2303.17580 • Published • 11 -
MetaGPT: Meta Programming for Multi-Agent Collaborative Framework
Paper • 2308.00352 • Published • 2 -
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Paper • 2203.11171 • Published • 5 -
Universal Language Model Fine-tuning for Text Classification
Paper • 1801.06146 • Published • 7 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 13 -
TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools
Paper • 2503.10970 • Published • 17 -
Charting and Navigating Hugging Face's Model Atlas
Paper • 2503.10633 • Published • 81 -
Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models
Paper • 2411.14257 • Published • 13 -
Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages
Paper • 2501.06346 • Published • 1 -
Do Large Language Models Latently Perform Multi-Hop Reasoning?
Paper • 2402.16837 • Published • 30 -
Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models
Paper • 2502.10835 • Published -
Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries
Paper • 2406.12775 • Published -
Sparse Autoencoders Find Highly Interpretable Features in Language Models
Paper • 2309.08600 • Published • 15 -
Scaling and evaluating sparse autoencoders
Paper • 2406.04093 • Published • 3 -
Transcoders Find Interpretable LLM Feature Circuits
Paper • 2406.11944 • Published • 2 -
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Paper • 2403.19647 • Published • 4 -
Automatically Identifying Local and Global Circuits with Linear Computation Graphs
Paper • 2405.13868 • Published -
"It's not a representation of me": Examining Accent Bias and Digital Exclusion in Synthetic AI Voice Services
Paper • 2504.09346 • Published • 4