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Has It All Been Solved? Open NLP Research Questions Not Solved by Large
  Language Models

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models

21 May 2023
Oana Ignat
Zhijing Jin
Artem Abzaliev
Laura Biester
Santiago Castro
Naihao Deng
Xinyi Gao
Aylin Gunal
Jacky He
Ashkan Kazemi
Muhammad Khalifa
N. Koh
Andrew Lee
Siyang Liu
Do June Min
Shinka Mori
Joan Nwatu
Verónica Pérez-Rosas
Siqi Shen
Zekun Wang
Winston Wu
Rada Mihalcea
    LRM
ArXivPDFHTML

Papers citing "Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models"

37 / 37 papers shown
Title
Finding Neurons in a Haystack: Case Studies with Sparse Probing
Finding Neurons in a Haystack: Case Studies with Sparse Probing
Wes Gurnee
Neel Nanda
Matthew Pauly
Katherine Harvey
Dmitrii Troitskii
Dimitris Bertsimas
MILM
150
170
0
02 May 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
197
2,232
0
22 Mar 2023
IFAN: An Explainability-Focused Interaction Framework for Humans and NLP
  Models
IFAN: An Explainability-Focused Interaction Framework for Humans and NLP Models
Edoardo Mosca
Daryna Dementieva
Tohid Ebrahim Ajdari
Maximilian Kummeth
Kirill Gringauz
Yutong Zhou
Georg Groh
14
5
0
06 Mar 2023
Finding Alignments Between Interpretable Causal Variables and
  Distributed Neural Representations
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations
Atticus Geiger
Zhengxuan Wu
Christopher Potts
Thomas F. Icard
Noah D. Goodman
CML
73
98
0
05 Mar 2023
Crawling the Internal Knowledge-Base of Language Models
Crawling the Internal Knowledge-Base of Language Models
Roi Cohen
Mor Geva
Jonathan Berant
Amir Globerson
164
74
0
30 Jan 2023
Interpretability in the Wild: a Circuit for Indirect Object
  Identification in GPT-2 small
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small
Kevin Wang
Alexandre Variengien
Arthur Conmy
Buck Shlegeris
Jacob Steinhardt
205
486
0
01 Nov 2022
Complexity-Based Prompting for Multi-Step Reasoning
Complexity-Based Prompting for Multi-Step Reasoning
Yao Fu
Hao-Chun Peng
Ashish Sabharwal
Peter Clark
Tushar Khot
ReLM
LRM
143
298
0
03 Oct 2022
Causal Proxy Models for Concept-Based Model Explanations
Causal Proxy Models for Concept-Based Model Explanations
Zhengxuan Wu
Karel DÓosterlinck
Atticus Geiger
Amir Zur
Christopher Potts
MILM
68
35
0
28 Sep 2022
In-context Learning and Induction Heads
In-context Learning and Induction Heads
Catherine Olsson
Nelson Elhage
Neel Nanda
Nicholas Joseph
Nova Dassarma
...
Tom B. Brown
Jack Clark
Jared Kaplan
Sam McCandlish
C. Olah
232
453
0
24 Sep 2022
Can There be Art Without an Artist?
Can There be Art Without an Artist?
A. Ghosh
Genoveva Fossas
32
20
0
16 Sep 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
Teaching language models to support answers with verified quotes
Teaching language models to support answers with verified quotes
Jacob Menick
Maja Trebacz
Vladimir Mikulik
John Aslanides
Francis Song
...
Mia Glaese
Susannah Young
Lucy Campbell-Gillingham
G. Irving
Nat McAleese
ELM
RALM
213
204
0
21 Mar 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Improving Intrinsic Exploration with Language Abstractions
Improving Intrinsic Exploration with Language Abstractions
Jesse Mu
Victor Zhong
Roberta Raileanu
Minqi Jiang
Noah D. Goodman
Tim Rocktaschel
Edward Grefenstette
81
63
0
17 Feb 2022
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
Uri Alon
Frank F. Xu
Junxian He
Sudipta Sengupta
Dan Roth
Graham Neubig
RALM
67
62
0
28 Jan 2022
Can Machines Learn Morality? The Delphi Experiment
Can Machines Learn Morality? The Delphi Experiment
Liwei Jiang
Jena D. Hwang
Chandra Bhagavatula
Ronan Le Bras
Jenny T Liang
...
Yulia Tsvetkov
Oren Etzioni
Maarten Sap
Regina A. Rini
Yejin Choi
FaML
102
81
0
14 Oct 2021
Truthful AI: Developing and governing AI that does not lie
Truthful AI: Developing and governing AI that does not lie
Owain Evans
Owen Cotton-Barratt
Lukas Finnveden
Adam Bales
Avital Balwit
Peter Wills
Luca Righetti
William Saunders
HILM
207
107
0
13 Oct 2021
Word Acquisition in Neural Language Models
Word Acquisition in Neural Language Models
Tyler A. Chang
Benjamin Bergen
19
29
0
05 Oct 2021
Micromodels for Efficient, Explainable, and Reusable Systems: A Case
  Study on Mental Health
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health
Andrew Lee
Jonathan K. Kummerfeld
Lawrence C. An
Rada Mihalcea
18
19
0
28 Sep 2021
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text
  Generation
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation
Marzena Karpinska
Nader Akoury
Mohit Iyyer
195
106
0
14 Sep 2021
AfroMT: Pretraining Strategies and Reproducible Benchmarks for
  Translation of 8 African Languages
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages
Machel Reid
Junjie Hu
Graham Neubig
Y. Matsuo
28
26
0
10 Sep 2021
Medically Aware GPT-3 as a Data Generator for Medical Dialogue
  Summarization
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization
Bharath Chintagunta
Namit Katariya
X. Amatriain
Anitha Kannan
LM&MA
MedIm
117
145
0
09 Sep 2021
How Much Can CLIP Benefit Vision-and-Language Tasks?
How Much Can CLIP Benefit Vision-and-Language Tasks?
Sheng Shen
Liunian Harold Li
Hao Tan
Mohit Bansal
Anna Rohrbach
Kai-Wei Chang
Z. Yao
Kurt Keutzer
CLIP
VLM
MLLM
174
342
0
13 Jul 2021
Explainable AI: current status and future directions
Explainable AI: current status and future directions
Prashant Gohel
Priyanka Singh
M. Mohanty
XAI
71
86
0
12 Jul 2021
Extractive and Abstractive Explanations for Fact-Checking and Evaluation
  of News
Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News
Ashkan Kazemi
Zehua Li
Verónica Pérez-Rosas
Rada Mihalcea
8
12
0
27 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
272
3,784
0
18 Apr 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
3,790
0
24 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
288
2,875
0
11 Feb 2021
Robustness Gym: Unifying the NLP Evaluation Landscape
Robustness Gym: Unifying the NLP Evaluation Landscape
Karan Goel
Nazneen Rajani
Jesse Vig
Samson Tan
Jason M. Wu
Stephan Zheng
Caiming Xiong
Mohit Bansal
Christopher Ré
AAML
OffRL
OOD
127
136
0
13 Jan 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
261
1,386
0
14 Dec 2020
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing
  Functional Entropies
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies
Itai Gat
Idan Schwartz
A. Schwing
Tamir Hazan
31
88
0
21 Oct 2020
Cold-start Active Learning through Self-supervised Language Modeling
Cold-start Active Learning through Self-supervised Language Modeling
Michelle Yuan
Hsuan-Tien Lin
Jordan L. Boyd-Graber
91
180
0
19 Oct 2020
How Can We Accelerate Progress Towards Human-like Linguistic
  Generalization?
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
Tal Linzen
202
188
0
03 May 2020
Unified Vision-Language Pre-Training for Image Captioning and VQA
Unified Vision-Language Pre-Training for Image Captioning and VQA
Luowei Zhou
Hamid Palangi
Lei Zhang
Houdong Hu
Jason J. Corso
Jianfeng Gao
MLLM
VLM
247
922
0
24 Sep 2019
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
273
1,561
0
18 Sep 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
386
2,216
0
03 Sep 2019
AI safety via debate
AI safety via debate
G. Irving
Paul Christiano
Dario Amodei
196
148
0
02 May 2018
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