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Papers
Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks
ACL 2024
Null-Shot Prompting: Rethinking Prompting Large Language Models With Hallucination
EMNLP 2024
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
ICLR 2024
Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks
ACL 2024
Self-training Language Models for Arithmetic Reasoning
EMNLP 2024
Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data
AAAI 2024
Understanding Addition in Transformers
ICLR 2024
A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis
EMNLP 2023
Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems
EMNLP 2023
Causal Abstraction for Chain-of-Thought Reasoning in Arithmetic Word Problems
EMNLP 2023
Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?
EACL 2023
Dynamic Voting for Efficient Reasoning in Large Language Models
EMNLP 2023
Large Language Models are Better Reasoners with Self-Verification
EMNLP 2023
Large Language Models Can Be Easily Distracted by Irrelevant Context
ICML 2023
Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency
ACL 2023
MathPrompter: Mathematical Reasoning using Large Language Models
ACL 2023
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve
EMNLP 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models
ICLR 2023
Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning
EMNLP 2022
Discrete Reasoning Templates for Natural Language Understanding
EACL 2021