v1v2 (latest)

Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019

17 November 2019

Vikas Yadav

Steven Bethard

Mihai Surdeanu

ArXiv (abs)PDF HTML

Papers citing "Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering"

50 / 52 papers shown

Title
MARS-M: When Variance Reduction Meets Matrices Yifeng Liu Angela Yuan Q. Gu 141 0 0 20 Oct 2025
Benchmarking and Improving LLM Robustness for Personalized Generation Chimaobi Okite Naihao Deng Kiran Bodipati Huaidian Hou Joyce Chai Amélie Reymond 88 0 0 18 Sep 2025
Causal Attention with Lookahead Keys Zhuoqing Song Peng Sun Huizhuo Yuan Quanquan Gu CML 128 0 0 09 Sep 2025
$iFairy: the First 2-bit Complex LLM with All Parameters in $\{\pm1, \pm i\}$$ iFairy: the First 2-bit Complex LLM with All Parameters in $\{\pm1, \pm i\}$ Feiyu Wang Guoan Wang Yihao Zhang S. Wang Weitao Li Bokai Huang Shimao Chen Z. L. Jiang Rui Xu Tong Yang MQ 176 3 0 07 Aug 2025
Multi-Layer Attention is the Amplifier of Demonstration Effectiveness Dingzirui Wang Xuangliang Zhang Keyan Xu Qingfu Zhu Wanxiang Che Yang Deng 109 1 0 01 Aug 2025
Hardware-Efficient Attention for Fast Decoding Ted Zadouri Hubert Strauss Tri Dao 273 8 0 27 May 2025
InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models Yanggan Gu Zhaoyi Yan Yuanyi Wang Yiming Zhang Qi Zhou Leilei Gan Hongxia Yang 195 2 0 20 May 2025
BitNet v2: Native 4-bit Activations with Hadamard Transformation for 1-bit LLMs Hongyu Wang Shuming Ma Furu Wei MQ 216 9 0 25 Apr 2025
Single-pass Detection of Jailbreaking Input in Large Language Models Leyla Naz Candogan Yongtao Wu Elias Abad Rocamora Grigorios G. Chrysos Volkan Cevher AAML 198 5 0 24 Feb 2025
Tensor Product Attention Is All You Need Yifan Zhang Yifeng Liu Huizhuo Yuan Zhen Qin Yang Yuan Q. Gu Andrew Chi-Chih Yao 558 27 0 11 Jan 2025
TruncFormer: Private LLM Inference Using Only Truncations Patrick Yubeaton Jianqiao Mo Karthik Garimella N. Jha Brandon Reagen Chinmay Hegde Siddharth Garg 225 1 0 02 Dec 2024
AI Benchmarks and Datasets for LLM Evaluation Todor Ivanov Valeri Penchev 319 5 0 02 Dec 2024
Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered ContextNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 Sangwon Yu Ik-hwan Kim Jongyoon Song Saehyung Lee Junsung Park Sungroh Yoon LRM 303 2 0 09 Oct 2024
Selection of LLM Fine-Tuning Data based on Orthogonal Rules Xiaomin Li Mingye Gao Zhiwei Zhang Chang Yue Hong Hu 226 9 0 07 Oct 2024
Exploring Quantization for Efficient Pre-Training of Transformer Language Models Kamran Chitsaz Quentin Fournier Gonccalo Mordido Sarath Chandar MQ 238 6 0 16 Jul 2024
Q-Sparse: All Large Language Models can be Fully Sparsely-Activated Hongyu Wang Shuming Ma Ruiping Wang Furu Wei MoE 202 19 0 15 Jul 2024
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models Vikas Yadav Hyuk joon Kwon Vijay Srinivasan Hongxia Jin 147 0 0 26 Jun 2024
Scalable MatMul-free Language Modeling Rui-Jie Zhu Yu Zhang Ethan Sifferman Tyler Sheaves Yiqiao Wang Dustin Richmond P. Zhou Nhan Duy Truong 453 30 0 04 Jun 2024
Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation Shen Yuan Haotian Liu Hongteng Xu 226 9 0 24 May 2024
Better & Faster Large Language Models via Multi-token Prediction Fabian Gloeckle Badr Youbi Idrissi Baptiste Rozière David Lopez-Paz Gabriele Synnaeve 245 198 0 30 Apr 2024
Cross-Architecture Transfer Learning for Linear-Cost Inference Transformers Sehyun Choi 119 3 0 03 Apr 2024
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language InferenceInternational Conference on Language Resources and Evaluation (LREC), 2024 Mokanarangan Thayaparan Marco Valentino André Freitas 141 1 0 03 Apr 2024
ORPO: Monolithic Preference Optimization without Reference ModelConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Jiwoo Hong Noah Lee James Thorne OSLM 507 418 0 12 Mar 2024
A Logical Pattern Memory Pre-trained Model for Entailment Tree GenerationInternational Conference on Language Resources and Evaluation (LREC), 2024 Li Yuan Yi Cai Haopeng Ren Jiexin Wang LRM 189 7 0 11 Mar 2024
Guardrail Baselines for Unlearning in LLMs Pratiksha Thaker Yash Maurya Shengyuan Hu Zhiwei Steven Wu Virginia Smith MU 296 75 0 05 Mar 2024
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Shuming Ma Hongyu Wang Lingxiao Ma Lei Wang Wenhui Wang Shaohan Huang Lifeng Dong Ruiping Wang Jilong Xue Furu Wei MQ 218 308 0 27 Feb 2024
RECOST: External Knowledge Guided Data-efficient Instruction Tuning Qi Zhang Yiming Zhang Haobo Wang Junbo Zhao 169 18 0 27 Feb 2024
Who's Harry Potter? Approximate Unlearning in LLMs Ronen Eldan M. Russinovich MU MoMe 341 303 0 03 Oct 2023
HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale SupervisionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Wenting Zhao Justin T. Chiu Claire Cardie Alexander M. Rush LRM 208 7 0 23 May 2023
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and RoutingAAAI Conference on Artificial Intelligence (AAAI), 2022 Conglong Li Z. Yao Xiaoxia Wu Minjia Zhang Connor Holmes Cheng Li Yuxiong He 259 34 0 07 Dec 2022
Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers Z. Yao Xiaoxia Wu Conglong Li Connor Holmes Minjia Zhang Cheng-rong Li Yuxiong He 158 13 0 17 Nov 2022
Analyzing Multi-Task Learning for Abstractive Text SummarizationIEEE Games Entertainment Media Conference (GEM), 2022 Frederic Kirstein Jan Philip Wahle Terry Ruas Bela Gipp 194 6 0 26 Oct 2022
Towards Better Few-Shot and Finetuning Performance with Forgetful Causal Language Models Hao Liu Xinyang Geng Lisa Lee Igor Mordatch Sergey Levine Sharan Narang Pieter Abbeel KELM CLL 201 3 0 24 Oct 2022
NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable ReasoningInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Nathaniel Weir Peter Clark Benjamin Van Durme ReLM NAI LRM 209 21 0 16 Sep 2022
Going Beyond Approximation: Encoding Constraints for Explainable Multi-hop Inference via Differentiable Combinatorial Solvers Mokanarangan Thayaparan Marco Valentino André Freitas 112 0 0 05 Aug 2022
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale TransformersNeural Information Processing Systems (NeurIPS), 2022 Z. Yao Reza Yazdani Aminabadi Minjia Zhang Xiaoxia Wu Conglong Li Yuxiong He VLM MQ 347 603 0 04 Jun 2022
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation Ruixin Hong Hongming Zhang Xintong Yu Changshui Zhang ReLM LRM 181 37 0 05 May 2022
ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime K. Annervaz Pritam Kumar Nath Ambedkar Dukkipati RALM 92 1 0 17 Dec 2021
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks Akari Asai Matt Gardner Hannaneh Hajishirzi RALM 237 53 0 16 Dec 2021
Exploiting Reasoning Chains for Multi-hop Science Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Weiwen Xu Yang Deng Huihui Zhang Deng Cai W. Lam LRM 158 27 0 07 Sep 2021
Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question AnsweringFindings (Findings), 2021 Weiwen Xu Huihui Zhang Deng Cai Wai Lam 201 39 0 25 May 2021
Encoding Explanatory Knowledge for Zero-shot Science Question AnsweringInternational Conference on Computational Semantics (IWCS), 2021 Zili Zhou Marco Valentino Dónal Landers André Freitas 161 7 0 12 May 2021
Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop InferenceTransactions of the Association for Computational Linguistics (TACL), 2021 Mokanarangan Thayaparan Marco Valentino Deborah Ferreira Julia Rozanova André Freitas 276 11 0 07 May 2021
Reference Knowledgeable Network for Machine Reading Comprehension Yilin Zhao Zhuosheng Zhang Hai Zhao 280 5 0 07 Dec 2020
Multi-hop Inference for Question-driven Summarization Yang Deng Wenxuan Zhang Wai Lam 103 22 0 08 Oct 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision Max Glockner Ivan Habernal Iryna Gurevych LRM 219 28 0 07 Oct 2020
A Survey on Explainability in Machine Reading Comprehension Mokanarangan Thayaparan Marco Valentino André Freitas FaML 302 52 0 01 Oct 2020
Case-Based Abductive Natural Language Inference Marco Valentino Mokanarangan Thayaparan André Freitas 196 7 0 30 Sep 2020
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 Vikas Yadav Steven Bethard Mihai Surdeanu RALM 166 54 0 04 May 2020
Unification-based Reconstruction of Multi-hop Explanations for Science Questions Marco Valentino Mokanarangan Thayaparan André Freitas 171 8 0 31 Mar 2020