activity
20152023
most citedReinforcement Learning for Relation Classification from Noisy Data

183 citations · 2.2k across the 143 of their papers we have counts for

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7 papers · 1 filter

cs.AI2023★ 55 cited

AgentBench: Evaluating LLMs as Agents

Xiao Liu, Hao Yu, Hanchen Zhang +19

The potential of Large Language Model (LLM) as agents has been widely acknowledged recently. Thus, there is an urgent need to quantitatively \textit{evaluate LLMs as agents} on cha…

cs.AI2022★ 3 cited

AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning

Jiaxin Wen, Yeshuang Zhu, Jinchao Zhang +2

Recent studies have shown the impressive efficacy of counterfactually augmented data (CAD) for reducing NLU models' reliance on spurious features and improving their generalizabili…

cs.AI2022★ 3 cited

CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation

Jinfeng Zhou, Chujie Zheng, Bo Wang +2

Empathetic conversation is psychologically supposed to be the result of conscious alignment and interaction between the cognition and affection of empathy. However, existing empath…

cs.AI2021★ 15 cited

Pre-Trained Models: Past, Present and Future

Xu Han, Zhengyan Zhang, Ning Ding +21

Large-scale pre-trained models (PTMs) such as BERT and GPT have recently achieved great success and become a milestone in the field of artificial intelligence (AI). Owing to sophis…

cs.AI2018★ 14 cited

Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning

Jun Feng, Heng Li, Minlie Huang +4

Ranking is a fundamental and widely studied problem in scenarios such as search, advertising, and recommendation. However, joint optimization for multi-scenario ranking, which aims…

cs.AI2017★ 29 cited

Augmenting End-to-End Dialog Systems with Commonsense Knowledge

Tom Young, Erik Cambria, Iti Chaturvedi +3

Building dialog agents that can converse naturally with humans is a challenging yet intriguing problem of artificial intelligence. In open-domain human-computer conversation, where…

cs.AI2015★ 39 cited

From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction

Han Xiao, Minlie Huang, Xiaoyan Zhu

Knowledge graph embedding aims at offering a numerical knowledge representation paradigm by transforming the entities and relations into continuous vector space. However, existing…