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Solving NLP Problems through Human-System Collaboration: A
  Discussion-based Approach

Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach

19 May 2023
Masahiro Kaneko
Graham Neubig
Naoaki Okazaki
ArXivPDFHTML

Papers citing "Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach"

14 / 14 papers shown
Title
A Little Leak Will Sink a Great Ship: Survey of Transparency for Large
  Language Models from Start to Finish
A Little Leak Will Sink a Great Ship: Survey of Transparency for Large Language Models from Start to Finish
Masahiro Kaneko
Timothy Baldwin
PILM
21
3
0
24 Mar 2024
Evaluating Gender Bias in Large Language Models via Chain-of-Thought
  Prompting
Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
Timothy Baldwin
LRM
17
27
0
28 Jan 2024
SAIE Framework: Support Alone Isn't Enough -- Advancing LLM Training
  with Adversarial Remarks
SAIE Framework: Support Alone Isn't Enough -- Advancing LLM Training with Adversarial Remarks
Mengsay Loem
Masahiro Kaneko
Naoaki Okazaki
LRM
19
5
0
14 Nov 2023
BYOC: Personalized Few-Shot Classification with Co-Authored Class
  Descriptions
BYOC: Personalized Few-Shot Classification with Co-Authored Class Descriptions
Arth Bohra
Govert Verkes
Artem Harutyunyan
Pascal Weinberger
Giovanni Campagna
14
5
0
09 Oct 2023
Controlled Generation with Prompt Insertion for Natural Language
  Explanations in Grammatical Error Correction
Controlled Generation with Prompt Insertion for Natural Language Explanations in Grammatical Error Correction
Masahiro Kaneko
Naoaki Okazaki
LRM
19
4
0
20 Sep 2023
Evaluating Gender Bias of Pre-trained Language Models in Natural
  Language Inference by Considering All Labels
Evaluating Gender Bias of Pre-trained Language Models in Natural Language Inference by Considering All Labels
Panatchakorn Anantaprayoon
Masahiro Kaneko
Naoaki Okazaki
56
16
0
18 Sep 2023
The Impact of Debiasing on the Performance of Language Models in
  Downstream Tasks is Underestimated
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
18
5
0
16 Sep 2023
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale
  Instructions
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions
Minghao Wu
Abdul Waheed
Chiyu Zhang
Muhammad Abdul-Mageed
Alham Fikri Aji
ALM
124
115
0
27 Apr 2023
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
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 2022
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
315
8,261
0
28 Jan 2022
Towards Zero-Label Language Learning
Towards Zero-Label Language Learning
Zirui Wang
Adams Wei Yu
Orhan Firat
Yuan Cao
SyDa
170
101
0
19 Sep 2021
Debiasing Pre-trained Contextualised Embeddings
Debiasing Pre-trained Contextualised Embeddings
Masahiro Kaneko
Danushka Bollegala
210
138
0
23 Jan 2021
e-SNLI: Natural Language Inference with Natural Language Explanations
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
252
618
0
04 Dec 2018
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