ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.08656
  4. Cited By
DREAM: Improving Situational QA by First Elaborating the Situation

DREAM: Improving Situational QA by First Elaborating the Situation

16 December 2021
Yuling Gu
Bhavana Dalvi
Peter Clark
ArXivPDFHTML

Papers citing "DREAM: Improving Situational QA by First Elaborating the Situation"

31 / 31 papers shown
Title
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
738
9,267
0
28 Jan 2022
Learning To Retrieve Prompts for In-Context Learning
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin
Jonathan Herzig
Jonathan Berant
VPVLM
RALM
77
699
0
16 Dec 2021
Contextualized Scene Imagination for Generative Commonsense Reasoning
Contextualized Scene Imagination for Generative Commonsense Reasoning
Peifeng Wang
Jonathan Zamora
Junfeng Liu
Filip Ilievski
Muhao Chen
Xiang Ren
ReLM
LRM
65
16
0
12 Dec 2021
Show Your Work: Scratchpads for Intermediate Computation with Language
  Models
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Maxwell Nye
Anders Andreassen
Guy Gur-Ari
Henryk Michalewski
Jacob Austin
...
Aitor Lewkowycz
Maarten Bosma
D. Luan
Charles Sutton
Augustus Odena
ReLM
LRM
159
737
0
30 Nov 2021
Think about it! Improving defeasible reasoning by first modeling the
  question scenario
Think about it! Improving defeasible reasoning by first modeling the question scenario
Cencheng Shen
Niket Tandon
Ha Trinh
Peter Clark
Yiming Yang
Eduard H. Hovy
LRM
ReLM
68
31
0
24 Oct 2021
Generated Knowledge Prompting for Commonsense Reasoning
Generated Knowledge Prompting for Commonsense Reasoning
Jiacheng Liu
Alisa Liu
Ximing Lu
Sean Welleck
Peter West
Ronan Le Bras
Yejin Choi
Hannaneh Hajishirzi
KELM
RALM
ReLM
LLMAG
LRM
113
321
0
15 Oct 2021
General-Purpose Question-Answering with Macaw
General-Purpose Question-Answering with Macaw
Oyvind Tafjord
Peter Clark
SyDa
ELM
MLLM
56
60
0
06 Sep 2021
Towards General Natural Language Understanding with Probabilistic
  Worldbuilding
Towards General Natural Language Understanding with Probabilistic Worldbuilding
Abulhair Saparov
Tom Michael Mitchell
59
6
0
06 May 2021
How Many Data Points is a Prompt Worth?
How Many Data Points is a Prompt Worth?
Teven Le Scao
Alexander M. Rush
VLM
143
302
0
15 Mar 2021
Measuring and Improving Consistency in Pretrained Language Models
Measuring and Improving Consistency in Pretrained Language Models
Yanai Elazar
Nora Kassner
Shauli Ravfogel
Abhilasha Ravichander
Eduard H. Hovy
Hinrich Schütze
Yoav Goldberg
HILM
314
366
0
01 Feb 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
358
1,370
0
17 Jan 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
213
4,244
0
01 Jan 2021
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and
  their Consequences
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences
Denis Emelin
Ronan Le Bras
Jena D. Hwang
Maxwell Forbes
Yejin Choi
LRM
99
129
0
31 Dec 2020
Social Chemistry 101: Learning to Reason about Social and Moral Norms
Social Chemistry 101: Learning to Reason about Social and Moral Norms
Maxwell Forbes
Jena D. Hwang
Vered Shwartz
Maarten Sap
Yejin Choi
50
266
0
01 Nov 2020
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs
Jena D. Hwang
Chandra Bhagavatula
Ronan Le Bras
Jeff Da
Keisuke Sakaguchi
Antoine Bosselut
Yejin Choi
73
409
0
12 Oct 2020
Inquisitive Question Generation for High Level Text Comprehension
Inquisitive Question Generation for High Level Text Comprehension
Wei-Jen Ko
Tengyang Chen
Yiyan Huang
Greg Durrett
Junyi Jessy Li
28
48
0
04 Oct 2020
Aligning AI With Shared Human Values
Aligning AI With Shared Human Values
Dan Hendrycks
Collin Burns
Steven Basart
Andrew Critch
Jingkai Li
D. Song
Jacob Steinhardt
137
548
0
05 Aug 2020
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and
  Strong Baselines
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
Marius Mosbach
Maksym Andriushchenko
Dietrich Klakow
144
357
0
08 Jun 2020
BERT-kNN: Adding a kNN Search Component to Pretrained Language Models
  for Better QA
BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA
Nora Kassner
Hinrich Schütze
RALM
72
68
0
02 May 2020
UnifiedQA: Crossing Format Boundaries With a Single QA System
UnifiedQA: Crossing Format Boundaries With a Single QA System
Daniel Khashabi
Sewon Min
Tushar Khot
Ashish Sabharwal
Oyvind Tafjord
Peter Clark
Hannaneh Hajishirzi
120
735
0
02 May 2020
Unsupervised Commonsense Question Answering with Self-Talk
Unsupervised Commonsense Question Answering with Self-Talk
Vered Shwartz
Peter West
Ronan Le Bras
Chandra Bhagavatula
Yejin Choi
ReLM
SSL
AI4MH
LRM
61
262
0
11 Apr 2020
Adversarial Filters of Dataset Biases
Adversarial Filters of Dataset Biases
Ronan Le Bras
Swabha Swayamdipta
Chandra Bhagavatula
Rowan Zellers
Matthew E. Peters
Ashish Sabharwal
Yejin Choi
92
222
0
10 Feb 2020
How Can We Know What Language Models Know?
How Can We Know What Language Models Know?
Zhengbao Jiang
Frank F. Xu
Jun Araki
Graham Neubig
KELM
123
1,402
0
28 Nov 2019
Generalization through Memorization: Nearest Neighbor Language Models
Generalization through Memorization: Nearest Neighbor Language Models
Urvashi Khandelwal
Omer Levy
Dan Jurafsky
Luke Zettlemoyer
M. Lewis
RALM
146
837
0
01 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
371
20,053
0
23 Oct 2019
Reasoning Over Paragraph Effects in Situations
Reasoning Over Paragraph Effects in Situations
Kevin Lin
Oyvind Tafjord
Peter Clark
Matt Gardner
63
115
0
16 Aug 2019
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Nazneen Rajani
Bryan McCann
Caiming Xiong
R. Socher
ReLM
LRM
74
564
0
06 Jun 2019
Improving Machine Reading Comprehension with General Reading Strategies
Improving Machine Reading Comprehension with General Reading Strategies
Kai Sun
Dian Yu
Dong Yu
Claire Cardie
AI4CE
64
116
0
31 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.5K
94,511
0
11 Oct 2018
Modeling Naive Psychology of Characters in Simple Commonsense Stories
Modeling Naive Psychology of Characters in Simple Commonsense Stories
Hannah Rashkin
Antoine Bosselut
Maarten Sap
Kevin Knight
Yejin Choi
43
103
0
16 May 2018
AllenNLP: A Deep Semantic Natural Language Processing Platform
AllenNLP: A Deep Semantic Natural Language Processing Platform
Matt Gardner
Joel Grus
Mark Neumann
Oyvind Tafjord
Pradeep Dasigi
Nelson F. Liu
Matthew E. Peters
Michael Schmitz
Luke Zettlemoyer
VLM
76
1,281
0
20 Mar 2018
1