Papers with Claude Haiku

2 papers
To Mask or to Mirror: Human-AI Alignment in Collective Reasoning (2025.emnlp-main)

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Challenge: Large language models (LLMs) are increasingly used to model and augment collective decision-making.
Approach: They propose a framework for assessing collective alignment using the Lost at Sea social psychology task.
Outcome: The proposed framework compares LLMs with human-AI alignment on the Lost at Sea social psychology task.
Diagnosing and Mitigating Sycophancy and Skepticism in LLM Causal Judgment (2026.findings-acl)

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Challenge: Current evaluations obscure the answer to causal judgment in frontier models.
Approach: They introduce a process-integrity evaluator that checks whether a model's answer is entailed by its own derivation, internally consistent, and not dominated by user hints under pressure.
Outcome: The proposed model fails to distinguish between the two pathologies.

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