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. 2104.08773
  4. Cited By
Cross-Task Generalization via Natural Language Crowdsourcing
  Instructions

Cross-Task Generalization via Natural Language Crowdsourcing Instructions

18 April 2021
Swaroop Mishra
Daniel Khashabi
Chitta Baral
Hannaneh Hajishirzi
    LRM
ArXivPDFHTML

Papers citing "Cross-Task Generalization via Natural Language Crowdsourcing Instructions"

50 / 562 papers shown
Title
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
Abhijnan Nath
Changsoo Jung
Ethan Seefried
Nikhil Krishnaswamy
176
1
0
11 Oct 2024
Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements
Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements
Jingyu Zhang
Ahmed Elgohary
Ahmed Magooda
Daniel Khashabi
Benjamin Van Durme
174
2
0
11 Oct 2024
Packing Analysis: Packing Is More Appropriate for Large Models or
  Datasets in Supervised Fine-tuning
Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning
Shuhe Wang
Guoyin Wang
Yucheng Wang
Jiwei Li
Eduard H. Hovy
Chen Guo
37
4
0
10 Oct 2024
StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for
  Large Language Models
StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models
Minchan Kwon
Gaeun Kim
Jongsuk Kim
Haeil Lee
Junmo Kim
OffRL
LRM
LLMAG
26
2
0
10 Oct 2024
Uncovering Factor Level Preferences to Improve Human-Model Alignment
Uncovering Factor Level Preferences to Improve Human-Model Alignment
Juhyun Oh
Eunsu Kim
Jiseon Kim
Wenda Xu
Inha Cha
William Yang Wang
Alice Oh
34
0
0
09 Oct 2024
Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with
  Situation Puzzles
Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles
Qi Chen
Bowen Zhang
Gang Wang
Qi Wu
ReLM
LRM
42
3
0
09 Oct 2024
LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for
  Enhanced Following of Instructions with Multiple Constraints
LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints
Thomas Palmeira Ferraz
Kartik Mehta
Yu-Hsiang Lin
Haw-Shiuan Chang
Shereen Oraby
Sijia Liu
Vivek Subramanian
Tagyoung Chung
Mohit Bansal
Nanyun Peng
56
8
0
09 Oct 2024
On Instruction-Finetuning Neural Machine Translation Models
On Instruction-Finetuning Neural Machine Translation Models
Vikas Raunak
Roman Grundkiewicz
Marcin Junczys-Dowmunt
33
1
0
07 Oct 2024
Cookbook: A framework for improving LLM generative abilities via
  programmatic data generating templates
Cookbook: A framework for improving LLM generative abilities via programmatic data generating templates
A. Narayan
Mayee F. Chen
Kush S. Bhatia
Christopher Ré
SyDa
41
3
0
07 Oct 2024
Compression via Pre-trained Transformers: A Study on Byte-Level
  Multimodal Data
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data
David Heurtel-Depeiges
Anian Ruoss
Joel Veness
Tim Genewein
43
1
0
07 Oct 2024
TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and
  Generation
TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation
Jonathan Cook
Tim Rocktaschel
Jakob Foerster
Dennis Aumiller
Alex Wang
ALM
37
10
0
04 Oct 2024
ProcBench: Benchmark for Multi-Step Reasoning and Following Procedure
ProcBench: Benchmark for Multi-Step Reasoning and Following Procedure
Ippei Fujisawa
Sensho Nobe
Hiroki Seto
Rina Onda
Yoshiaki Uchida
Hiroki Ikoma
Pei-Chun Chien
Ryota Kanai
LRM
44
3
0
04 Oct 2024
Mitigating Backdoor Threats to Large Language Models: Advancement and
  Challenges
Mitigating Backdoor Threats to Large Language Models: Advancement and Challenges
Qin Liu
Wenjie Mo
Terry Tong
Lyne Tchapmi
Fei Wang
Chaowei Xiao
Muhao Chen
AAML
39
4
0
30 Sep 2024
Show and Guide: Instructional-Plan Grounded Vision and Language Model
Show and Guide: Instructional-Plan Grounded Vision and Language Model
Diogo Glória-Silva
David Semedo
João Magalhães
26
0
0
27 Sep 2024
From Linguistic Giants to Sensory Maestros: A Survey on Cross-Modal
  Reasoning with Large Language Models
From Linguistic Giants to Sensory Maestros: A Survey on Cross-Modal Reasoning with Large Language Models
Shengsheng Qian
Zuyi Zhou
Dizhan Xue
Bing Wang
Changsheng Xu
LRM
39
1
0
19 Sep 2024
Multi-Document Grounded Multi-Turn Synthetic Dialog Generation
Multi-Document Grounded Multi-Turn Synthetic Dialog Generation
Young-Suk Lee
Chulaka Gunasekara
Danish Contractor
Ramón Fernandez Astudillo
Radu Florian
32
1
0
17 Sep 2024
LLM-as-a-Judge & Reward Model: What They Can and Cannot Do
LLM-as-a-Judge & Reward Model: What They Can and Cannot Do
Guijin Son
Hyunwoo Ko
Hoyoung Lee
Yewon Kim
Seunghyeok Hong
ALM
ELM
54
7
0
17 Sep 2024
RNR: Teaching Large Language Models to Follow Roles and Rules
RNR: Teaching Large Language Models to Follow Roles and Rules
Kuan-Chieh Jackson Wang
Alexander Bukharin
Haoming Jiang
Qingyu Yin
Zhengyang Wang
...
Chao Zhang
Bing Yin
Xian Li
Jianshu Chen
Shiyang Li
ALM
26
1
0
10 Sep 2024
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve
  Generalization in Large Language Models
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models
Sonam Gupta
Yatin Nandwani
Asaf Yehudai
Mayank Mishra
Gaurav Pandey
Dinesh Raghu
Sachindra Joshi
LRM
25
1
0
07 Sep 2024
End User Authoring of Personalized Content Classifiers: Comparing
  Example Labeling, Rule Writing, and LLM Prompting
End User Authoring of Personalized Content Classifiers: Comparing Example Labeling, Rule Writing, and LLM Prompting
Leijie Wang
Kathryn Yurechko
Pranati Dani
Quan Ze Chen
Amy X. Zhang
50
3
0
05 Sep 2024
Quality or Quantity? On Data Scale and Diversity in Adapting Large
  Language Models for Low-Resource Translation
Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation
Vivek Iyer
Bhavitvya Malik
Pavel Stepachev
Pinzhen Chen
Barry Haddow
Alexandra Birch
ALM
34
3
0
23 Aug 2024
EvalYaks: Instruction Tuning Datasets and LoRA Fine-tuned Models for
  Automated Scoring of CEFR B2 Speaking Assessment Transcripts
EvalYaks: Instruction Tuning Datasets and LoRA Fine-tuned Models for Automated Scoring of CEFR B2 Speaking Assessment Transcripts
Nicy Scaria
Silvester John Joseph Kennedy
Thomas Latinovich
Deepak N. Subramani
29
0
0
22 Aug 2024
REInstruct: Building Instruction Data from Unlabeled Corpus
REInstruct: Building Instruction Data from Unlabeled Corpus
Shu Chen
Xinyan Guan
Yaojie Lu
Hongyu Lin
Xianpei Han
Le Sun
ALM
SyDa
27
2
0
20 Aug 2024
CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing
  Hallucinations in LVLMs
CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs
Yassine Ouali
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
VLM
MLLM
40
18
0
19 Aug 2024
Creating Arabic LLM Prompts at Scale
Creating Arabic LLM Prompts at Scale
Abdelrahman El-Sheikh
Ahmed Elmogtaba
Kareem Darwish
Muhammad Morsy Elmallah
Ashraf Elneima
Hassan Sawaf
LRM
19
0
0
12 Aug 2024
P3: A Policy-Driven, Pace-Adaptive, and Diversity-Promoted Framework for
  Optimizing LLM Training
P3: A Policy-Driven, Pace-Adaptive, and Diversity-Promoted Framework for Optimizing LLM Training
Yingxuan Yang
Huayi Wang
Muning Wen
Weinan Zhang
49
0
0
10 Aug 2024
Better Alignment with Instruction Back-and-Forth Translation
Better Alignment with Instruction Back-and-Forth Translation
Thao Nguyen
Jeffrey Li
Sewoong Oh
Ludwig Schmidt
Jason Weston
Luke Zettlemoyer
Xian Li
SyDa
38
6
0
08 Aug 2024
Let Me Speak Freely? A Study on the Impact of Format Restrictions on
  Performance of Large Language Models
Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models
Zhi Rui Tam
Cheng-Kuang Wu
Yi-Lin Tsai
Chieh-Yen Lin
Hung-yi Lee
Yun-Nung Chen
32
24
0
05 Aug 2024
FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs
  Only
FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only
He Zhu
Junyou Su
Tianle Lun
Yicheng Tao
Wenjia Zhang
Zipei Fan
Guanhua Chen
ALM
37
2
0
02 Aug 2024
PERSOMA: PERsonalized SOft ProMpt Adapter Architecture for Personalized
  Language Prompting
PERSOMA: PERsonalized SOft ProMpt Adapter Architecture for Personalized Language Prompting
Liam Hebert
Krishna Sayana
Ambarish Jash
Alexandros Karatzoglou
Geordie Williamson
Sumanth Doddapaneni
Yanli Cai
Dima Kuzmin
36
3
0
02 Aug 2024
CFBench: A Comprehensive Constraints-Following Benchmark for LLMs
CFBench: A Comprehensive Constraints-Following Benchmark for LLMs
Leo Micklem
Yan-Bin Shen
Wenjing Luo
Yan Zhang
Hao Liang
...
Weipeng Chen
Bin Cui
Blair Thornton
Wentao Zhang
Zenan Zhou
ELM
84
16
0
02 Aug 2024
Paying More Attention to Image: A Training-Free Method for Alleviating
  Hallucination in LVLMs
Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs
Shiping Liu
Kecheng Zheng
Wei Chen
MLLM
52
34
0
31 Jul 2024
Dancing in Chains: Reconciling Instruction Following and Faithfulness in
  Language Models
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models
Zhengxuan Wu
Yuhao Zhang
Linquan Wei
Yumo Xu
Rujun Han
Yi Liu
Jifan Chen
Bonan Min
Zhiheng Huang
33
0
0
31 Jul 2024
CollectiveSFT: Scaling Large Language Models for Chinese Medical
  Benchmark with Collective Instructions in Healthcare
CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcare
Jingwei Zhu
Minghuan Tan
Min Yang
Ruixue Li
Hamid Alinejad-Rokny
ALM
LM&MA
38
0
0
29 Jul 2024
The power of Prompts: Evaluating and Mitigating Gender Bias in MT with
  LLMs
The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs
Aleix Sant
Carlos Escolano
Audrey Mash
Francesca de Luca Fornaciari
Maite Melero
36
4
0
26 Jul 2024
Do Large Language Models Have Compositional Ability? An Investigation
  into Limitations and Scalability
Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability
Zhuoyan Xu
Zhenmei Shi
Yingyu Liang
CoGe
LRM
40
27
0
22 Jul 2024
Hard Prompts Made Interpretable: Sparse Entropy Regularization for
  Prompt Tuning with RL
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
Yunseon Choi
Sangmin Bae
Seonghyun Ban
Minchan Jeong
Chuheng Zhang
Lei Song
Li Zhao
Jiang Bian
Kee-Eung Kim
VLM
AAML
36
3
0
20 Jul 2024
Learning-From-Mistakes Prompting for Indigenous Language Translation
Learning-From-Mistakes Prompting for Indigenous Language Translation
You-Cheng Liao
Chen-Jui Yu
Chi-Yi Lin
He-Feng Yun
Yen-Hsiang Wang
Hsiao-Min Li
Yao-Chung Fan
44
1
0
18 Jul 2024
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
To Eun Kim
Alireza Salemi
Andrew Drozdov
Fernando Diaz
Hamed Zamani
56
7
0
17 Jul 2024
Analyzing the Generalization and Reliability of Steering Vectors
Analyzing the Generalization and Reliability of Steering Vectors
Daniel Tan
David Chanin
Aengus Lynch
Dimitrios Kanoulas
Brooks Paige
Adrià Garriga-Alonso
Robert Kirk
LLMSV
84
17
0
17 Jul 2024
SELF-GUIDE: Better Task-Specific Instruction Following via
  Self-Synthetic Finetuning
SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning
Chenyang Zhao
Xueying Jia
Vijay Viswanathan
Tongshuang Wu
Graham Neubig
SyDa
ALM
53
25
0
16 Jul 2024
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning
  and Format Alignment
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment
Jinhao Jiang
Junyi Li
Wayne Xin Zhao
Yang Song
Tao Zhang
Ji-Rong Wen
CLL
41
3
0
15 Jul 2024
sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through
  N-shot Guided Prompting
sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting
Sanchit Ahuja
Kumar Tanmay
Hardik Hansrajbhai Chauhan
Barun Patra
Kriti Aggarwal
...
Tejas I. Dhamecha
Ahmed Awadallah
Monojit Choudhary
Vishrav Chaudhary
Sunayana Sitaram
32
3
0
13 Jul 2024
Language-Augmented Symbolic Planner for Open-World Task Planning
Language-Augmented Symbolic Planner for Open-World Task Planning
Guanqi Chen
Lei Yang
Ruixing Jia
Zhe Hu
Yizhou Chen
Wei Zhang
Wenping Wang
Jia Pan
LM&Ro
LLMAG
48
8
0
13 Jul 2024
Beyond Instruction Following: Evaluating Inferential Rule Following of
  Large Language Models
Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models
Wangtao Sun
Chenxiang Zhang
Xueyou Zhang
Ziyang Huang
Haotian Xu
Pei Chen
Shizhu He
Jun Zhao
Kang Liu
ELM
LRM
38
5
0
11 Jul 2024
LIONs: An Empirically Optimized Approach to Align Language Models
LIONs: An Empirically Optimized Approach to Align Language Models
Xiao Yu
Qingyang Wu
Yu Li
Zhou Yu
ALM
40
3
0
09 Jul 2024
AI Safety in Generative AI Large Language Models: A Survey
AI Safety in Generative AI Large Language Models: A Survey
Jaymari Chua
Yun Yvonna Li
Shiyi Yang
Chen Wang
Lina Yao
LM&MA
42
12
0
06 Jul 2024
ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild
ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild
Ahmed Masry
Megh Thakkar
Aayush Bajaj
Aaryaman Kartha
Enamul Hoque
Chenyu You
VLM
44
26
0
04 Jul 2024
MAPO: Boosting Large Language Model Performance with Model-Adaptive
  Prompt Optimization
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
Yuyan Chen
Zhihao Wen
Ge Fan
Zhengyu Chen
Wei Wu
Dayiheng Liu
Zhixu Li
Bang Liu
Yanghua Xiao
41
18
0
04 Jul 2024
GemmAr: Enhancing LLMs Through Arabic Instruction-Tuning
GemmAr: Enhancing LLMs Through Arabic Instruction-Tuning
Hasna Chouikhi
Manel Aloui
Cyrine Ben Hammou
Ghaith Chaabane
Haithem Kchaou
Chehir Dhaouadi
44
0
0
02 Jul 2024
Previous
12345...101112
Next