2 citations · 2 across the 14 of their papers we have counts for
5 papers · 1 filter
A Survey on Latent Reasoning
Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng +30
Large Language Models (LLMs) have demonstrated impressive reasoning capabilities, especially when guided by explicit chain-of-thought (CoT) reasoning that verbalizes intermediate s…
MultiJustice: A Chinese Dataset for Multi-Party, Multi-Charge Legal Prediction
Xiao Wang, Jiahuan Pei, Diancheng Shui +4
Legal judgment prediction offers a compelling method to aid legal practitioners and researchers. However, the research question remains relatively under-explored: Should multiple d…
PLD: A Choice-Theoretic List-Wise Knowledge Distillation
Ejafa Bassam, Dawei Zhu, Kaigui Bian
Knowledge distillation is a model compression technique in which a compact "student" network is trained to replicate the predictive behavior of a larger "teacher" network. In logit…
Language models can learn implicit multi-hop reasoning, but only if they have lots of training data
Yuekun Yao, Yupei Du, Dawei Zhu +2
Implicit reasoning is the ability of a language model to solve multi-hop reasoning tasks in a single forward pass, without chain of thought. We investigate this capability using GP…
Same evaluation, more tokens: On the effect of input length for machine translation evaluation using Large Language Models
Tobias Domhan, Dawei Zhu
Accurately evaluating machine-translated text remains a long-standing challenge, particularly for long documents. Recent work has shown that large language models (LLMs) can serve…