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20242026
most citedReasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling

3 citations · 5 across the 9 of their papers we have counts for

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cs.CL2026

You Shouldn't Have Asked: A Pragmatics-Inspired Taxonomy for Evaluating LLM Refusals

Ruoxuan Li, Pinqiao Wang, Sheng Li +1

Refusals are often treated as face-threatening acts in pragmatics because they can challenge the requester's socially claimed self-image. Large language models (LLMs) are increasin…

cs.AI2026

ItinBench: Benchmarking Planning Across Multiple Cognitive Dimensions with Large Language Models

Tianlong Wang, Pinqiao Wang, Weili Shi +1

Large language models (LLMs) with advanced cognitive capabilities are emerging as agents for various reasoning and planning tasks. Traditional evaluations often focus on specific r…