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Text Modular Networks: Learning to Decompose Tasks in the Language of
  Existing Models
v1v2 (latest)

Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models

North American Chapter of the Association for Computational Linguistics (NAACL), 2021
1 September 2020
Tushar Khot
Daniel Khashabi
Kyle Richardson
Peter Clark
Ashish Sabharwal
    ReLM
ArXiv (abs)PDFHTML

Papers citing "Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models"

50 / 64 papers shown
POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval
POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval
Yaoyang Liu
Junlin Li
Yinjun Wu
Zhen Chen
388
3
0
25 May 2025
Neuro-Symbolic Query Compiler
Neuro-Symbolic Query CompilerAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Yuyao Zhang
Zhicheng Dou
Xiaoxi Li
Jiajie Jin
Yongkang Wu
Zhonghua Li
Qi Ye
Ji-Rong Wen
NAI
371
2
0
17 May 2025
Modular Machine Learning: An Indispensable Path towards New-Generation Large Language Models
Modular Machine Learning: An Indispensable Path towards New-Generation Large Language Models
X. Wang
Haoyang Li
Zeyang Zhang
Zeyang Zhang
Wenwu Zhu
LRM
471
6
0
28 Apr 2025
FLIP Reasoning Challenge
FLIP Reasoning Challenge
Andreas Plesner
Turlan Kuzhagaliyev
Roger Wattenhofer
AAMLVLMLRM
443
0
0
16 Apr 2025
Fast-Slow-Thinking: Complex Task Solving with Large Language Models
Fast-Slow-Thinking: Complex Task Solving with Large Language Models
Yiliu Sun
Yanfang Zhang
Zicheng Zhao
Sheng Wan
Dacheng Tao
Chen Gong
LRM
402
4
0
11 Apr 2025
DEXTER: A Benchmark for open-domain Complex Question Answering using
  LLMs
DEXTER: A Benchmark for open-domain Complex Question Answering using LLMs
Venktesh V. Deepali Prabhu
Avishek Anand
RALMCoGe
322
5
0
24 Jun 2024
THREAD: Thinking Deeper with Recursive Spawning
THREAD: Thinking Deeper with Recursive Spawning
Philip Schroeder
Nathaniel Morgan
Hongyin Luo
James R. Glass
LRMLLMAGReLM
383
13
0
27 May 2024
LLMs Know What They Need: Leveraging a Missing Information Guided
  Framework to Empower Retrieval-Augmented Generation
LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation
Keheng Wang
Feiyu Duan
Peiguang Li
Sirui Wang
Xunliang Cai
RALM
278
13
0
22 Apr 2024
GenDec: A robust generative Question-decomposition method for Multi-hop
  reasoning
GenDec: A robust generative Question-decomposition method for Multi-hop reasoning
Jian Wu
Linyi Yang
Yuliang Ji
Wenhao Huang
Börje F. Karlsson
Manabu Okumura
280
15
0
17 Feb 2024
Chain of Logic: Rule-Based Reasoning with Large Language Models
Chain of Logic: Rule-Based Reasoning with Large Language Models
Sergio Servantez
Joe Barrow
Kristian J. Hammond
R. Jain
ReLMELMAILawLRMAI4CE
454
17
0
16 Feb 2024
What if you said that differently?: How Explanation Formats Affect Human
  Feedback Efficacy and User Perception
What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception
Chaitanya Malaviya
Subin Lee
Dan Roth
Mark Yatskar
329
3
0
16 Nov 2023
ADaPT: As-Needed Decomposition and Planning with Language Models
ADaPT: As-Needed Decomposition and Planning with Language Models
Archiki Prasad
Alexander Koller
Mareike Hartmann
Peter Clark
Ashish Sabharwal
Mohit Bansal
Tushar Khot
LM&Ro
383
163
0
08 Nov 2023
In-Context Ability Transfer for Question Decomposition in Complex QA
In-Context Ability Transfer for Question Decomposition in Complex QA
Venktesh V
Sourangshu Bhattacharya
Avishek Anand
LRMReLM
289
5
0
26 Oct 2023
Exploring Question Decomposition for Zero-Shot VQA
Exploring Question Decomposition for Zero-Shot VQANeural Information Processing Systems (NeurIPS), 2023
Zaid Khan
B. Vijaykumar
S. Schulter
Manmohan Chandraker
Yun Fu
ReLM
260
20
0
25 Oct 2023
A Communication Theory Perspective on Prompting Engineering Methods for
  Large Language Models
A Communication Theory Perspective on Prompting Engineering Methods for Large Language ModelsJournal of Computational Science and Technology (JCST), 2023
Wailing Ng
Yuanqin He
Xuefang Zhao
Hanlin Gu
Chen Zhang
Haijun Yang
Lixin Fan
Qiang Yang
269
8
0
24 Oct 2023
Branch-Solve-Merge Improves Large Language Model Evaluation and
  Generation
Branch-Solve-Merge Improves Large Language Model Evaluation and GenerationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Swarnadeep Saha
Omer Levy
Asli Celikyilmaz
Mohit Bansal
Jason Weston
Xian Li
MoMe
430
110
0
23 Oct 2023
DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based
  Queries
DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based QueriesNeural Information Processing Systems (NeurIPS), 2023
Jianyou Wang
Kaicheng Wang
Xiaoyue Wang
Prudhviraj Naidu
Leon Bergen
R. Paturi
564
17
0
07 Oct 2023
Dynamic MOdularized Reasoning for Compositional Structured Explanation
  Generation
Dynamic MOdularized Reasoning for Compositional Structured Explanation Generation
Xiyan Fu
Anette Frank
LRM
262
2
0
14 Sep 2023
Neurons in Large Language Models: Dead, N-gram, Positional
Neurons in Large Language Models: Dead, N-gram, PositionalAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Elena Voita
Javier Ferrando
Christoforos Nalmpantis
MILM
489
82
0
09 Sep 2023
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for
  Knowledge-intensive Question Answering
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering
Keheng Wang
Feiyu Duan
Sirui Wang
Peiguang Li
Yunsen Xian
Chuantao Yin
Wenge Rong
Zhang Xiong
LRMKELM
430
145
0
25 Aug 2023
Forward-Backward Reasoning in Large Language Models for Mathematical
  Verification
Forward-Backward Reasoning in Large Language Models for Mathematical VerificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Weisen Jiang
Han Shi
L. Yu
Zheng Liu
Yu Zhang
Zhenguo Li
James T. Kwok
LRM
563
49
0
15 Aug 2023
GEAR: Augmenting Language Models with Generalizable and Efficient Tool
  Resolution
GEAR: Augmenting Language Models with Generalizable and Efficient Tool ResolutionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Yining Lu
Haoping Yu
Daniel Khashabi
LLMAG
253
14
0
17 Jul 2023
Building blocks for complex tasks: Robust generative event extraction
  for radiology reports under domain shifts
Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shiftsClinical Natural Language Processing Workshop (ClinicalNLP), 2023
Sitong Zhou
Meliha Yetisgen
Mari Ostendorf
MedIm
261
2
0
15 Jun 2023
Instruction Tuned Models are Quick Learners
Instruction Tuned Models are Quick Learners
Himanshu Gupta
Saurabh Arjun Sawant
Swaroop Mishra
Mutsumi Nakamura
Arindam Mitra
Santosh Mashetty
Chitta Baral
346
30
0
17 May 2023
Natural Language Decomposition and Interpretation of Complex Utterances
Natural Language Decomposition and Interpretation of Complex UtterancesInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Harsh Jhamtani
Hao Fang
Patrick Xia
Eran Levy
Jacob Andreas
Benjamin Van Durme
ReLM
246
11
0
15 May 2023
HPE:Answering Complex Questions over Text by Hybrid Question Parsing and
  Execution
HPE:Answering Complex Questions over Text by Hybrid Question Parsing and ExecutionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Ye Liu
Semih Yavuz
Rui Meng
Dragomir R. Radev
Caiming Xiong
Yingbo Zhou
297
11
0
12 May 2023
Explainable Verbal Reasoner Plus (EVR+): A Natural Language Reasoning
  Framework that Supports Diverse Compositional Reasoning
Explainable Verbal Reasoner Plus (EVR+): A Natural Language Reasoning Framework that Supports Diverse Compositional Reasoning
Zhengzhong Liang
Zeyu Zhang
Steven Bethard
Mihai Surdeanu
ReLMLRM
272
1
0
28 Apr 2023
Chameleon: Plug-and-Play Compositional Reasoning with Large Language
  Models
Chameleon: Plug-and-Play Compositional Reasoning with Large Language ModelsNeural Information Processing Systems (NeurIPS), 2023
Pan Lu
Baolin Peng
Hao Cheng
Michel Galley
Kai-Wei Chang
Ying Nian Wu
Song-Chun Zhu
Jianfeng Gao
KELMMLLMLRM
442
439
0
19 Apr 2023
Explicit Planning Helps Language Models in Logical Reasoning
Explicit Planning Helps Language Models in Logical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Hongyu Zhao
Kangrui Wang
Mo Yu
Hongyuan Mei
LRMReLM
507
19
0
28 Mar 2023
Natural Language Reasoning, A Survey
Natural Language Reasoning, A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Fei Yu
Hongbo Zhang
Prayag Tiwari
Benyou Wang
ReLMLRM
429
107
0
26 Mar 2023
Complex QA and language models hybrid architectures, Survey
Complex QA and language models hybrid architectures, Survey
Xavier Daull
P. Bellot
Emmanuel Bruno
Vincent Martin
Elisabeth Murisasco
ELM
835
17
0
17 Feb 2023
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text
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MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Swarnadeep Saha
Xinyan Velocity Yu
Joey Tianyi Zhou
Ramakanth Pasunuru
Asli Celikyilmaz
ReLMLRM
352
14
0
16 Dec 2022
Successive Prompting for Decomposing Complex Questions
Successive Prompting for Decomposing Complex QuestionsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Dheeru Dua
Shivanshu Gupta
Sameer Singh
Matt Gardner
ReLMLRM
330
138
0
08 Dec 2022
Harnessing Knowledge and Reasoning for Human-Like Natural Language
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Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief ReviewIEEE Data Engineering Bulletin (DEB), 2022
Jiangjie Chen
Yanghua Xiao
261
5
0
07 Dec 2022
Learning Label Modular Prompts for Text Classification in the Wild
Learning Label Modular Prompts for Text Classification in the WildConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Hailin Chen
Amrita Saha
Shafiq Joty
Steven C. H. Hoi
OODVLM
317
5
0
30 Nov 2022
Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs
Breakpoint Transformers for Modeling and Tracking Intermediate BeliefsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Kyle Richardson
Ronen Tamari
Oren Sultan
Reut Tsarfaty
Dafna Shahaf
Ashish Sabharwal
KELM
384
9
0
15 Nov 2022
Learning to Decompose: Hypothetical Question Decomposition Based on
  Comparable Texts
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable TextsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Ben Zhou
Kyle Richardson
Xiaodong Yu
Dan Roth
ReLM
241
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30 Oct 2022
Measuring and Narrowing the Compositionality Gap in Language Models
Measuring and Narrowing the Compositionality Gap in Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Ofir Press
Muru Zhang
Sewon Min
Ludwig Schmidt
Noah A. Smith
M. Lewis
ReLMKELMLRM
924
1,093
0
07 Oct 2022
Binding Language Models in Symbolic Languages
Binding Language Models in Symbolic LanguagesInternational Conference on Learning Representations (ICLR), 2022
Zhoujun Cheng
Tianbao Xie
Peng Shi
Chengzu Li
Rahul Nadkarni
...
Dragomir R. Radev
Mari Ostendorf
Luke Zettlemoyer
Noah A. Smith
Tao Yu
LMTD
495
291
0
06 Oct 2022
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Decomposed Prompting: A Modular Approach for Solving Complex TasksInternational Conference on Learning Representations (ICLR), 2022
Tushar Khot
H. Trivedi
Matthew Finlayson
Yao Fu
Kyle Richardson
Peter Clark
Ashish Sabharwal
ReLMLRM
640
643
0
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Summarization Programs: Interpretable Abstractive Summarization with
  Neural Modular Trees
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular TreesInternational Conference on Learning Representations (ICLR), 2022
Swarnadeep Saha
Shiyue Zhang
Peter Hase
Joey Tianyi Zhou
337
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21 Sep 2022
NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional,
  and Explainable Reasoning
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
ReLMNAILRM
308
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16 Sep 2022
Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question
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Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question AnsweringInternational Conference on Computational Linguistics (COLING), 2022
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Zhongyu Wei
Zhihao Fan
Tao Gui
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280
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HELP ME THINK: A Simple Prompting Strategy for Non-experts to Create
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E. Nouri
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Is a Question Decomposition Unit All We Need?
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Swaroop Mishra
Mihir Parmar
Chitta Baral
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Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard
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275
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Inferring Implicit Relations in Complex Questions with Language Models
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Calibrating Trust of Multi-Hop Question Answering Systems with
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333
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169
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12
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