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Cong Jiang

3 accepted papers

2026

Rethinking LLM Reasoning: From Explicit Trajectories to Latent Representations

ICLR 2026poster

Large Language Models (LLMs) have achieved impressive performance on complex tasks by generating human-like, step-by-step rationales, referred to as \textit{reasoning trajectory}, before arriving at final answers. However, the length of these reasoning trajectories often far exceeds that of the fina…

Cited by 0SourcecodeScholar
2025

Automating Legal Interpretation with LLMs: Retrieval, Generation, and Evaluation

ACL 2025long

Interpreting the law is always essential for the law to adapt to the ever-changing society. It is a critical and challenging task even for legal practitioners, as it requires meticulous and professional annotations and summarizations by legal experts, which are admittedly time-consuming and expensiv…

2022

Do Charge Prediction Models Learn Legal Theory?

EMNLP 2022finding

The charge prediction task aims to predict the charge for a case given its fact description. Recent models have already achieved impressive accuracy in this task, however, little is understood about the mechanisms they use to perform the judgment.For practical applications, a charge prediction model…