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Robustness of Learning from Task Instructions
v1v2v3v4 (latest)

Robustness of Learning from Task Instructions

Annual Meeting of the Association for Computational Linguistics (ACL), 2022
7 December 2022
Jiasheng Gu
Hongyu Zhao
Hanzi Xu
Liang Nie
Hongyuan Mei
Wenpeng Yin
    OOD
ArXiv (abs)PDFHTMLGithub

Papers citing "Robustness of Learning from Task Instructions"

27 / 27 papers shown
LLM Knowledge is Brittle: Truthfulness Representations Rely on Superficial Resemblance
LLM Knowledge is Brittle: Truthfulness Representations Rely on Superficial Resemblance
Patrick Haller
Mark Ibrahim
Polina Kirichenko
Levent Sagun
Samuel J. Bell
KELM
167
3
0
13 Oct 2025
Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance
Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance
Ahmed Alajrami
Xingwei Tan
Nikolaos Aletras
223
1
0
03 Oct 2025
Benchmarking and Improving LLM Robustness for Personalized Generation
Benchmarking and Improving LLM Robustness for Personalized Generation
Chimaobi Okite
Naihao Deng
Kiran Bodipati
Huaidian Hou
Joyce Chai
Amélie Reymond
198
2
0
18 Sep 2025
More Than a Score: Probing the Impact of Prompt Specificity on LLM Code Generation
More Than a Score: Probing the Impact of Prompt Specificity on LLM Code Generation
Yangtian Zi
Harshitha Menon
Arjun Guha
171
2
0
05 Aug 2025
PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models
PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language ModelsComputer Vision and Pattern Recognition (CVPR), 2025
Jenny Schmalfuss
Nadine Chang
Vibashan VS
Maying Shen
Andrés Bruhn
Jose M. Alvarez
VLM
297
4
0
03 Jun 2025
BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization
BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization
Xueyang Zhou
Guiyao Tie
Guowen Zhang
Hechang Wang
Pan Zhou
Lichao Sun
AAML
337
18
0
22 May 2025
Leveraging LLM Inconsistency to Boost Pass@k Performance
Leveraging LLM Inconsistency to Boost Pass@k Performance
Uri Dalal
Meirav Segal
Zvika Ben-Haim
Dan Lahav
Omer Nevo
435
3
0
19 May 2025
What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns
What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token PatternsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Michael A. Hedderich
Anyi Wang
Raoyuan Zhao
Florian Eichin
Jonas Fischer
Barbara Plank
426
4
0
22 Apr 2025
Enhancing LLM Robustness to Perturbed Instructions: An Empirical Study
Enhancing LLM Robustness to Perturbed Instructions: An Empirical Study
Aryan Agrawal
Lisa Alazraki
Shahin Honarvar
Marek Rei
402
12
0
03 Apr 2025
Prompt-Reverse Inconsistency: LLM Self-Inconsistency Beyond Generative Randomness and Prompt Paraphrasing
Prompt-Reverse Inconsistency: LLM Self-Inconsistency Beyond Generative Randomness and Prompt Paraphrasing
Jihyun Janice Ahn
Wenpeng Yin
SILMLRM
488
15
0
02 Apr 2025
Benchmarking Large Language Models on Multiple Tasks in Bioinformatics NLP with Prompting
Benchmarking Large Language Models on Multiple Tasks in Bioinformatics NLP with Prompting
Jiyue Jiang
Pengan Chen
Jinqiao Wang
Dongchen He
Ziqin Wei
...
Yimin Fan
Xiangyu Shi
Jimeng Sun
Chuan Wu
Yuan Li
LM&MA
394
11
0
06 Mar 2025
Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness
Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness
Tingchen Fu
Fazl Barez
AAML
376
3
0
03 Mar 2025
POSIX: A Prompt Sensitivity Index For Large Language Models
POSIX: A Prompt Sensitivity Index For Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Anwoy Chatterjee
H. S. V. N. S. K. Renduchintala
S. Bhatia
Tanmoy Chakraborty
AAML
358
45
0
03 Oct 2024
A Survey on the Honesty of Large Language Models
A Survey on the Honesty of Large Language Models
Siheng Li
Cheng Yang
Taiqiang Wu
Chufan Shi
Yuji Zhang
...
Jie Zhou
Yujiu Yang
Ngai Wong
Xixin Wu
Wai Lam
HILM
398
21
0
27 Sep 2024
Systematic Task Exploration with LLMs: A Study in Citation Text
  Generation
Systematic Task Exploration with LLMs: A Study in Citation Text Generation
Furkan Şahinuç
Ilia Kuznetsov
Yufang Hou
Iryna Gurevych
274
12
0
04 Jul 2024
Social Bias Evaluation for Large Language Models Requires Prompt
  Variations
Social Bias Evaluation for Large Language Models Requires Prompt Variations
Rem Hida
Masahiro Kaneko
Naoaki Okazaki
361
39
0
03 Jul 2024
What Affects the Stability of Tool Learning? An Empirical Study on the
  Robustness of Tool Learning Frameworks
What Affects the Stability of Tool Learning? An Empirical Study on the Robustness of Tool Learning Frameworks
Chengrui Huang
Zhengliang Shi
Yuntao Wen
Xiuying Chen
Peng Han
Shen Gao
Shuo Shang
245
2
0
03 Jul 2024
On the Transformations across Reward Model, Parameter Update, and
  In-Context Prompt
On the Transformations across Reward Model, Parameter Update, and In-Context Prompt
Deng Cai
Huayang Li
Tingchen Fu
Siheng Li
Weiwen Xu
...
Leyang Cui
Yan Wang
Lemao Liu
Taro Watanabe
Shuming Shi
KELM
265
2
0
24 Jun 2024
On the Worst Prompt Performance of Large Language Models
On the Worst Prompt Performance of Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Bowen Cao
Deng Cai
Zhisong Zhang
Yuexian Zou
Wai Lam
ALMLRM
316
31
0
08 Jun 2024
Evaluating the Adversarial Robustness of Retrieval-Based In-Context
  Learning for Large Language Models
Evaluating the Adversarial Robustness of Retrieval-Based In-Context Learning for Large Language Models
Simon Chi Lok Yu
Jie He
Pasquale Minervini
Jeff Z. Pan
311
0
0
24 May 2024
xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation
xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation
Qingchen Yu
Zifan Zheng
Chenyang Xi
Zhiyu Li
Feiyu Xiong
Shichao Song
Simin Niu
316
2
0
20 May 2024
Improving the Robustness of Large Language Models via Consistency
  Alignment
Improving the Robustness of Large Language Models via Consistency Alignment
Zhao Yukun
Lingyong Yan
Weiwei Sun
Guoliang Xing
Shuaiqiang Wang
Meng Chong
Zhicong Cheng
Zhaochun Ren
Yin Dawei
279
48
0
21 Mar 2024
Contrastive Instruction Tuning
Contrastive Instruction Tuning
Tianyi Yan
Fei Wang
James Y. Huang
Wenxuan Zhou
Fan Yin
Aram Galstyan
Wenpeng Yin
Muhao Chen
ALM
327
13
0
17 Feb 2024
State of What Art? A Call for Multi-Prompt LLM Evaluation
State of What Art? A Call for Multi-Prompt LLM EvaluationTransactions of the Association for Computational Linguistics (TACL), 2023
Moran Mizrahi
Guy Kaplan
Daniel Malkin
Rotem Dror
Dafna Shahaf
Gabriel Stanovsky
ELM
723
270
0
31 Dec 2023
MUFFIN: Curating Multi-Faceted Instructions for Improving
  Instruction-Following
MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-FollowingInternational Conference on Learning Representations (ICLR), 2023
Renze Lou
Kai Zhang
Jian Xie
Yuxuan Sun
Janice Ahn
Hanzi Xu
Yu Su
Wenpeng Yin
344
38
0
05 Dec 2023
Instructive Decoding: Instruction-Tuned Large Language Models are
  Self-Refiner from Noisy Instructions
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy InstructionsInternational Conference on Learning Representations (ICLR), 2023
Taehyeon Kim
Joonkee Kim
Gihun Lee
Se-Young Yun
406
28
0
01 Nov 2023
Large Language Model Instruction Following: A Survey of Progresses and
  Challenges
Large Language Model Instruction Following: A Survey of Progresses and ChallengesComputational Linguistics (CL), 2023
Renze Lou
Kai Zhang
Wenpeng Yin
ALMLRM
951
47
0
18 Mar 2023
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