Externalized CPDAG Summaries Improve LLM Causal Deduction
cs.AI
Submitted: 2026-09-25
Updated: 2026-09-25
Comments: 18 pages, 2 figures. Accepted at NeurIPS 2026
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- $\text{C}^2\text{P}$: Featuring Large Language Models with Causal Reasoning
- Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
- Post-Hoc Reasoning in Chain of Thought: Decoding and Steering Pre-Committed Answers
- XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models
- PAL: Program-aided Language Models
- Can Large Language Models Infer Causation from Correlation?
- Causal Reasoning in Pieces: Modular In-Context Learning for Causal Discovery
- Efficient Memory Management for Large Language Model Serving with PagedAttention
- Can large language models build causal graphs?
- CausalARC: Abstract Reasoning with Causal World Models
- C2-Faith: Benchmarking LLM Judges for Causal and Coverage Faithfulness in Chain-of-Thought Reasoning
- TALM: Tool Augmented Language Models
- Bypassing the Rationale: Causal Auditing of Implicit Reasoning in Language Models
- Toolformer: Language Models Can Teach Themselves to Use Tools
- Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation
- Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks
- Efficient Guided Generation for Large Language Models
- Can Foundation Models Talk Causality?
- A Critical Review of Causal Reasoning Benchmarks for Large Language Models
- ReAct: Synergizing Reasoning and Acting in Language Models
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