← Search

Zhidian Huang

2 accepted papers

2025

How do Transformers Learn Implicit Reasoning?

NeurIPS 2025spotlight

Recent work suggests that large language models (LLMs) can perform multi-hop reasoning implicitly---producing correct answers without explicitly verbalizing intermediate steps---but the underlying mechanisms remain poorly understood. In this paper, we study how such implicit reasoning emerges by tra…

Cited by 0SourceScholar
2024

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

ACL 2024long

Although large language models (LLMs) demonstrate impressive performance for many language tasks, most of them can only handle texts a few thousand tokens long, limiting their applications on longer sequence inputs, such as books, reports, and codebases. Recent works have proposed methods to improve…