8 citations · 9 across the 7 of their papers we have counts for
7 papers
Thinking with Reasoning Skills: Fewer Tokens, More Accuracy
Guangxiang Zhao, Qilong Shi, Xusen Xiao +3
Reasoning LLMs often spend substantial tokens on long intermediate reasoning traces (e.g., chain-of-thought) when solving new problems. We propose to summarize and store reusable r…
Exploring Hybrid Question Answering via Program-based Prompting
Qi Shi, Han Cui, Haofeng Wang +3
Question answering over heterogeneous data requires reasoning over diverse sources of data, which is challenging due to the large scale of information and organic coupling of heter…
Explanation Graph Generation via Generative Pre-training over Synthetic Graphs
Han Cui, Shangzhan Li, Yu Zhang +1
The generation of explanation graphs is a significant task that aims to produce explanation graphs in response to user input, revealing the internal reasoning process. This task is…
TSGP: Two-Stage Generative Prompting for Unsupervised Commonsense Question Answering
Yueqing Sun, Yu Zhang, Le Qi +1
Unsupervised commonsense question answering requires mining effective commonsense knowledge without the rely on the labeled task data. Previous methods typically retrieved from tra…
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training
Qi Shi, Qian Liu, Bei Chen +3
Language-based environment manipulation requires agents to manipulate the environment following natural language instructions, which is challenging due to the huge space of the env…
JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering
Yueqing Sun, Qi Shi, Le Qi +1
Existing KG-augmented models for commonsense question answering primarily focus on designing elaborate Graph Neural Networks (GNNs) to model knowledge graphs (KGs). However, they i…
Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification
Qi Shi, Yu Zhang, Qingyu Yin +1
Table-based fact verification task aims to verify whether the given statement is supported by the given semi-structured table. Symbolic reasoning with logical operations plays a cr…