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cs.AI2026
LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories
Liwei Kang, Yee Whye Teh, Wee Sun Lee
Large language models (LLMs) often solve reasoning problems by generating intermediate traces that explore and revise partial solutions. From a search perspective, these traces can…
cs.AI2025
First Try Matters: Revisiting the Role of Reflection in Reasoning Models
Liwei Kang, Yue Deng, Yao Xiao +3
Large language models have recently demonstrated significant gains in reasoning ability, often attributed to their capacity to generate longer chains of thought and engage in refle…
cs.AI2024
On the Empirical Complexity of Reasoning and Planning in LLMs
Liwei Kang, Zirui Zhao, David Hsu +1
Chain-of-thought (CoT), tree-of-thought (ToT), and related techniques work surprisingly well in practice for some complex reasoning tasks with Large Language Models (LLMs), but why…