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A Rationale-Centric Framework for Human-in-the-loop Machine Learning

A Rationale-Centric Framework for Human-in-the-loop Machine Learning

24 March 2022
Jinghui Lu
Linyi Yang
Brian Mac Namee
Yue Zhang
ArXivPDFHTML

Papers citing "A Rationale-Centric Framework for Human-in-the-loop Machine Learning"

29 / 29 papers shown
Title
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences
Liu Yu
Ludie Guo
Ping Kuang
Fan Zhou
39
0
0
12 Jan 2025
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision
  Models
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Byung-Kwan Lee
Chae Won Kim
Beomchan Park
Yonghyun Ro
MLLM
LRM
33
17
0
24 May 2024
A Survey on Human-AI Teaming with Large Pre-Trained Models
A Survey on Human-AI Teaming with Large Pre-Trained Models
Vanshika Vats
Marzia Binta Nizam
Minghao Liu
Ziyuan Wang
Richard Ho
...
Celeste Shen
Rachel Shen
Nafisa Hussain
Kesav Ravichandran
James Davis
LM&MA
42
8
0
07 Mar 2024
Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found
  Using Counterfactuals As Guides?
Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides?
Saugat Aryal
Mark T. Keane
32
4
0
01 Mar 2024
EvoGrad: A Dynamic Take on the Winograd Schema Challenge with Human
  Adversaries
EvoGrad: A Dynamic Take on the Winograd Schema Challenge with Human Adversaries
Jing Han Sun
Ali Emami
32
3
0
20 Feb 2024
PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity
  Recognition
PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition
Jinghui Lu
Ziwei Yang
Yanjie Wang
Xuejing Liu
Brian Mac Namee
Can Huang
MoE
45
4
0
07 Feb 2024
Learning from Semi-Factuals: A Debiased and Semantic-Aware Framework for
  Generalized Relation Discovery
Learning from Semi-Factuals: A Debiased and Semantic-Aware Framework for Generalized Relation Discovery
Jiaxin Wang
Lingling Zhang
Jun Liu
Tianlin Guo
Wenjun Wu
31
1
0
12 Jan 2024
Supervised Knowledge Makes Large Language Models Better In-context
  Learners
Supervised Knowledge Makes Large Language Models Better In-context Learners
Linyi Yang
Shuibai Zhang
Zhuohao Yu
Guangsheng Bao
Yidong Wang
...
Ruochen Xu
Weirong Ye
Xing Xie
Weizhu Chen
Yue Zhang
18
14
0
26 Dec 2023
The Utility of "Even if..." Semifactual Explanation to Optimise Positive
  Outcomes
The Utility of "Even if..." Semifactual Explanation to Optimise Positive Outcomes
Eoin M. Kenny
Weipeng Huang
27
9
0
29 Oct 2023
CR-COPEC: Causal Rationale of Corporate Performance Changes to Learn
  from Financial Reports
CR-COPEC: Causal Rationale of Corporate Performance Changes to Learn from Financial Reports
Ye Eun Chun
Sunjae Kwon
Kyung-Woo Sohn
Nakwon Sung
Junyoup Lee
Byungki Seo
Kevin Compher
Seung-won Hwang
Jaesik Choi
34
1
0
24 Oct 2023
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning
  Optimization
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
Yidong Wang
Zhuohao Yu
Zhengran Zeng
Linyi Yang
Cunxiang Wang
...
Jindong Wang
Xingxu Xie
Wei Ye
Shi-Bo Zhang
Yue Zhang
ALM
ELM
51
224
0
08 Jun 2023
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question
  Answering
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering
Cunxiang Wang
Hao Yu
Yue Zhang
19
9
0
26 May 2023
Out-of-Distribution Generalization in Text Classification: Past,
  Present, and Future
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Y. Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Jindong Wang
Jennifer Foster
Yue Zhang
OOD
32
2
0
23 May 2023
Learning to Generalize for Cross-domain QA
Learning to Generalize for Cross-domain QA
Yingjie Niu
Linyi Yang
Ruihai Dong
Yue Zhang
16
6
0
14 May 2023
Even if Explanations: Prior Work, Desiderata & Benchmarks for
  Semi-Factual XAI
Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI
Saugat Aryal
Markt. Keane
26
21
0
27 Jan 2023
PUnifiedNER: A Prompting-based Unified NER System for Diverse Datasets
PUnifiedNER: A Prompting-based Unified NER System for Diverse Datasets
Jinghui Lu
Rui Zhao
Brian Mac Namee
Fei Tan
24
18
0
27 Nov 2022
GLUE-X: Evaluating Natural Language Understanding Models from an
  Out-of-distribution Generalization Perspective
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective
Linyi Yang
Shuibai Zhang
Libo Qin
Yafu Li
Yidong Wang
Hanmeng Liu
Jindong Wang
Xingxu Xie
Yue Zhang
ELM
39
79
0
15 Nov 2022
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging
  of NLP Models
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
Dong-Ho Lee
Akshen Kadakia
Brihi Joshi
Aaron Chan
Ziyi Liu
...
Takashi Shibuya
Ryosuke Mitani
Toshiyuki Sekiya
Jay Pujara
Xiang Ren
LRM
40
9
0
30 Oct 2022
What Makes Pre-trained Language Models Better Zero-shot Learners?
What Makes Pre-trained Language Models Better Zero-shot Learners?
Jinghui Lu
Dongsheng Zhu
Weidong Han
Rui Zhao
Brian Mac Namee
Fei Tan
34
21
0
30 Sep 2022
Human-in-the-loop Robotic Grasping using BERT Scene Representation
Human-in-the-loop Robotic Grasping using BERT Scene Representation
Yaoxian Song
Penglei Sun
Pengfei Fang
Linyi Yang
Yanghua Xiao
Yue Zhang
65
5
0
28 Sep 2022
FactMix: Using a Few Labeled In-domain Examples to Generalize to
  Cross-domain Named Entity Recognition
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition
Linyi Yang
Lifan Yuan
Leyang Cui
Wen Gao
Yue Zhang
21
15
0
24 Aug 2022
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction
Yidong Wang
Hao Wu
Ao Liu
Wenxin Hou
Zhen Wu
Jindong Wang
T. Shinozaki
Manabu Okumura
Yue Zhang
30
3
0
17 Aug 2022
ER-Test: Evaluating Explanation Regularization Methods for Language
  Models
ER-Test: Evaluating Explanation Regularization Methods for Language Models
Brihi Joshi
Aaron Chan
Ziyi Liu
Shaoliang Nie
Maziar Sanjabi
Hamed Firooz
Xiang Ren
AAML
30
6
0
25 May 2022
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User
  Feedback for Continual System Improvement
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement
Bhavana Dalvi
Oyvind Tafjord
Peter Clark
LRM
KELM
ReLM
30
37
0
27 Apr 2022
Identifying and Mitigating Spurious Correlations for Improving
  Robustness in NLP Models
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models
Tianlu Wang
Rohit Sridhar
Diyi Yang
Xuezhi Wang
AAML
120
72
0
14 Oct 2021
Underreporting of errors in NLG output, and what to do about it
Underreporting of errors in NLG output, and what to do about it
Emiel van Miltenburg
Miruna Clinciu
Ondrej Dusek
Dimitra Gkatzia
Stephanie Inglis
...
Saad Mahamood
Emma Manning
S. Schoch
Craig Thomson
Luou Wen
25
38
0
02 Aug 2021
Fact Check: Analyzing Financial Events from Multilingual News Sources
Fact Check: Analyzing Financial Events from Multilingual News Sources
Linyi Yang
T. L. J. Ng
Barry Smyth
Ruihai Dong
AIFin
24
1
0
29 Jun 2021
Type B Reflexivization as an Unambiguous Testbed for Multilingual
  Multi-Task Gender Bias
Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias
Ana Valeria González
Maria Barrett
Rasmus Hvingelby
Kellie Webster
Anders Søgaard
19
26
0
24 Sep 2020
Machine learning and AI-based approaches for bioactive ligand discovery
  and GPCR-ligand recognition
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition
S. Raschka
Benjamin Kaufman
AI4CE
16
67
0
17 Jan 2020
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