activity
20172026
most citedR: Reinforced Reader-Ranker for Open-Domain Question Answering

87 citations · 101 across the 6 of their papers we have counts for

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Showing cs.CLShow all

7 papers · 1 filter

cs.CL2026

Enjoy Your Talk: A Human-Centered Benchmark for Multi-Turn Dialogue with Decoupled User Simulation, Target Modeling, and Judging

Jinglan Gong, Jiefan Lu, Hewei Guo +5

Evaluating large language models (LLMs) as multi-turn conversational partners requires probing capabilities that single-turn benchmarks miss: persona consistency, evolving intent t…

cs.CL20221 cited

An Empirical Study of Memorization in NLP

Xiaosen Zheng, Jing Jiang

A recent study by Feldman (2020) proposed a long-tail theory to explain the memorization behavior of deep learning models. However, memorization has not been empirically verified i…

cs.CL20209 cited

Aspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed Decoder

Yufei Tian, Jianfei Yu, Jing Jiang

In this paper, we study abstractive review summarization.Observing that review summaries often consist of aspect words, opinion words and context words, we propose a two-stage rein…

cs.CL20191 cited

Unsupervised Deep Structured Semantic Models for Commonsense Reasoning

Shuohang Wang, Sheng Zhang, Yelong Shen +4

Commonsense reasoning is fundamental to natural language understanding. While traditional methods rely heavily on human-crafted features and knowledge bases, we explore learning co…

cs.CL2018

Did you take the pill? - Detecting Personal Intake of Medicine from Twitter

Debanjan Mahata, Jasper Friedrichs, Rajiv Ratn Shah +1

Mining social media messages such as tweets, articles, and Facebook posts for health and drug related information has received significant interest in pharmacovigilance research. S…

cs.CL20173 cited

Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce

Jianfei Yu, Minghui Qiu, Jing Jiang +4

In this paper, we study transfer learning for the PI and NLI problems, aiming to propose a general framework, which can effectively and efficiently adapt the shared knowledge learn…