Co-occurring keywords · papers mentioning both
Papers
Do Efficient Transformers Really Save Computation?
ICML 2024
Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought
ICML 2024
How Language Model Hallucinations Can Snowball
ICML 2024
NExT: Teaching Large Language Models to Reason about Code Execution
ICML 2024
Prompt Sketching for Large Language Models
ICML 2024
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
ICML 2024
Robotic Control via Embodied Chain-of-Thought Reasoning
CoRL 2024
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
ICML 2024
Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
ICML 2024
Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition
ICML 2024