Papers with single-chain reasoning

2 papers
Causal-Audit: Explicit and Auditable Graph-based Reasoning via Target-Aware Causal Chain Construction (2026.findings-acl)

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Challenge: Existing LLM-based methods rely on implicit language-level reasoning, resulting in opaque causal assumptions and fragile predictions.
Approach: They propose an explicit and auditable causal reasoning framework for context-free intervention-based question answering that uses four modular stages rather than implicit end-to-end prediction.
Outcome: The proposed framework outperforms existing LLM-based methods while providing interpretable and auditable causal reasoning traces.
Divergent Thinking: Escape the Homogeneity Trap in Generative Commonsense Reasoning (2026.findings-acl)

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Challenge: Generative commonsense reasoning requires models to synthesize coherent narratives that satisfy lexical constraints and commonsensical logic.
Approach: They propose a framework that allows for deep semantic diversity rather than surface-level lexical variation.
Outcome: The proposed framework achieves over 10% improvement in overall accuracy on NoRa and SPICE score on CommonGen-Lite.

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