most citedGated End-to-End Memory Networks

10 citations · 15 across the 3 of their papers we have counts for

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cs.CL20241 cited

InFoBench: Evaluating Instruction Following Ability in Large Language Models

Yiwei Qin, Kaiqiang Song, Yebowen Hu +7

This paper introduces the Decomposed Requirements Following Ratio (DRFR), a new metric for evaluating Large Language Models' (LLMs) ability to follow instructions. Addressing a gap…

cs.CL2023

PaniniQA: Enhancing Patient Education Through Interactive Question Answering

Pengshan Cai, Zonghai Yao, Fei Liu +9

Patient portal allows discharged patients to access their personalized discharge instructions in electronic health records (EHRs). However, many patients have difficulty understand…

cs.CL20232 cited

MeetingBank: A Benchmark Dataset for Meeting Summarization

Yebowen Hu, Tim Ganter, Hanieh Deilamsalehy +3

As the number of recorded meetings increases, it becomes increasingly important to utilize summarization technology to create useful summaries of these recordings. However, there i…

cs.CL201610 cited

Gated End-to-End Memory Networks

Julien Perez, Fei Liu

Machine reading using differentiable reasoning models has recently shown remarkable progress. In this context, End-to-End trainable Memory Networks, MemN2N, have demonstrated promi…

cs.CL20163 cited

A Language-independent and Compositional Model for Personality Trait Recognition from Short Texts

Fei Liu, Julien Perez, Scott Nowson

Many methods have been used to recognize author personality traits from text, typically combining linguistic feature engineering with shallow learning models, e.g. linear regressio…