activity
20192024
most citedDisentangled Makeup Transfer with Generative Adversarial Network

20 citations · 25 across the 10 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.AI2023

Modeling Complex Mathematical Reasoning via Large Language Model based MathAgent

Haoran Liao, Qinyi Du, Shaohua Hu +4

Large language models (LLMs) face challenges in solving complex mathematical problems that require comprehensive capacities to parse the statements, associate domain knowledge, per…

cs.AI2023★ 3 cited

Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis

Caoyun Fan, Jindou Chen, Yaohui Jin +1

Game theory, as an analytical tool, is frequently utilized to analyze human behavior in social science research. With the high alignment between the behavior of Large Language Mode…

cs.CL2023

Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding

Caoyun Fan, Jidong Tian, Yitian Li +3

Chain-of-Thought (CoT) is a technique that guides Large Language Models (LLMs) to decompose complex tasks into multi-step reasoning through intermediate steps in natural language f…

cs.CL2023

Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization

Caoyun Fan, Wenqing Chen, Jidong Tian +3

Counterfactually-Augmented Data (CAD) -- minimal editing of sentences to flip the corresponding labels -- has the potential to improve the Out-Of-Distribution (OOD) generalization…

cs.AI2023

Contrast with Major Classifier Vectors for Federated Medical Relation Extraction with Heterogeneous Label Distribution

Chunhui Du, Hao He, Yaohui Jin

Federated medical relation extraction enables multiple clients to train a deep network collaboratively without sharing their raw medical data. In order to handle the heterogeneous…