Cross-Task Generalization via Natural Language Crowdsourcing Instructions

18 April 2021

Daniel Khashabi

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

50 / 562 papers shown

Title
Exploring Advanced Large Language Models with LLMsuite Giorgio Roffo LLMAG 27 0 0 01 Jul 2024
The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models Xinyi Chen Baohao Liao Jirui Qi Panagiotis Eustratiadis Christof Monz Arianna Bisazza Maarten de Rijke ALM ELM LRM 36 5 0 28 Jun 2024
Suri: Multi-constraint Instruction Following for Long-form Text Generation Chau Minh Pham Simeng Sun Mohit Iyyer ALM LRM 53 15 0 27 Jun 2024
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks Ibrahim Abdelaziz Kinjal Basu Mayank Agarwal Yara Rizk Matthew Stallone ... Merve Unuvar David D. Cox Salim Roukos Luis Lastras Pavan Kapanipathi LLMAG 34 21 0 27 Jun 2024
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems J. Mok Mohammad Kachuee Shuyang Dai Shayan Ray Tara Taghavi Sungroh Yoon LLMAG 18 2 0 27 Jun 2024
Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance Manon Reusens Philipp Borchert Jochen De Weerdt Bart Baesens 44 1 0 25 Jun 2024
LLMs' Classification Performance is Overclaimed Hanzi Xu Renze Lou Jiangshu Du Vahid Mahzoon Elmira Talebianaraki Zhuoan Zhou Elizabeth Garrison Slobodan Vučetić Wenpeng Yin 45 1 0 23 Jun 2024
FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models Junyi Zhu Shuochen Liu Yu Yu Bo Tang Yibo Yan Zhiyu Li Zhiyu Li Tong Xu Matthew B. Blaschko 47 3 0 23 Jun 2024
RE-AdaptIR: Improving Information Retrieval through Reverse Engineered Adaptation William Fleshman Benjamin Van Durme 53 0 0 20 Jun 2024
BeHonest: Benchmarking Honesty in Large Language Models Steffi Chern Zhulin Hu Yuqing Yang Ethan Chern Yuan Guo Jiahe Jin Binjie Wang Pengfei Liu HILM ALM 86 3 0 19 Jun 2024
Biomedical Visual Instruction Tuning with Clinician Preference Alignment Hejie Cui Lingjun Mao Xin Liang Jieyu Zhang Hui Ren Quanzheng Li Xiang Li Carl Yang LM&MA 64 6 0 19 Jun 2024
When Parts are Greater Than Sums: Individual LLM Components Can Outperform Full Models Ting-Yun Chang Jesse Thomason Robin Jia 48 4 0 19 Jun 2024
Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models? Pinzhen Chen Simon Yu Zhicheng Guo Barry Haddow ELM 54 1 0 18 Jun 2024
A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning Lijie Hu Liang Liu Shu Yang Xin Chen Hongru Xiao Mengdi Li Pan Zhou Muhammad Asif Ali Di Wang LRM 45 5 0 18 Jun 2024
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions Huanxuan Liao Yao Xu Shizhu He Yuanzhe Zhang Yanchao Hao Shengping Liu Kang Liu Jun Zhao 53 1 0 18 Jun 2024
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts Junmo Kang Leonid Karlinsky Hongyin Luo Zhen Wang Jacob A. Hansen James Glass David D. Cox Yikang Shen Rogerio Feris Alan Ritter MoMe MoE 42 8 0 17 Jun 2024
Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization Wenkai Yang Shiqi Shen Guangyao Shen Zhi Gong Yankai Lin Zhi Gong Yankai Lin Ji-Rong Wen 58 13 0 17 Jun 2024
Online Bandit Learning with Offline Preference Data for Improved RLHF Akhil Agnihotri Rahul Jain Deepak Ramachandran Zheng Wen OffRL 42 2 0 13 Jun 2024
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature David Wadden Kejian Shi Jacob Morrison Aakanksha Naik Shruti Singh ... Luca Soldaini Shannon Zejiang Shen Doug Downey Hannaneh Hajishirzi Arman Cohan 50 11 0 10 Jun 2024
Towards Lifelong Learning of Large Language Models: A Survey Junhao Zheng Shengjie Qiu Chengming Shi Qianli Ma KELM CLL 30 15 0 10 Jun 2024
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques Megh Thakkar Quentin Fournier Matthew D Riemer Pin-Yu Chen Amal Zouaq Payel Das Sarath Chandar ALM 47 8 0 07 Jun 2024
Annotating FrameNet via Structure-Conditioned Language Generation Xinyue Cui Swabha Swayamdipta 39 1 0 07 Jun 2024
Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models Xiang Ji Sanjeev Kulkarni Mengdi Wang Tengyang Xie OffRL 43 4 0 06 Jun 2024
LLMEmbed: Rethinking Lightweight LLM's Genuine Function in Text Classification Chun Liu Hongguang Zhang Kainan Zhao Xinghai Ju Lin Yang 50 4 0 06 Jun 2024
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark Yubo Wang Xueguang Ma Ge Zhang Yuansheng Ni Abhranil Chandra ... Kai Wang Alex Zhuang Rongqi Fan Xiang Yue Wenhu Chen LRM ELM 64 316 0 03 Jun 2024
Aligning Language Models with Demonstrated Feedback Omar Shaikh Michelle S. Lam Joey Hejna Yijia Shao Michael S. Bernstein Michael S. Bernstein Diyi Yang ALM 36 24 0 02 Jun 2024
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis Chaoyou Fu Yuhan Dai Yondong Luo Lei Li Shuhuai Ren ... Tong Xu Xiawu Zheng Enhong Chen Rongrong Ji Xing Sun VLM MLLM 50 302 0 31 May 2024
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation Guillaume Huguet James Vuckovic Kilian Fatras Eric Thibodeau-Laufer Pablo Lemos ... Jarrid Rector-Brooks Tara Akhound-Sadegh Michael M. Bronstein Alexander Tong A. Bose 32 28 0 30 May 2024
TAIA: Large Language Models are Out-of-Distribution Data Learners Shuyang Jiang Yusheng Liao Ya Zhang Yu Wang Yanfeng Wang 29 3 0 30 May 2024
X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual Instructions Chong Li Wen Yang Jiajun Zhang Jinliang Lu Shaonan Wang Chengqing Zong 47 6 0 30 May 2024
Why Larger Language Models Do In-context Learning Differently? Zhenmei Shi Junyi Wei Zhuoyan Xu Yingyu Liang 37 19 0 30 May 2024
IAPT: Instruction-Aware Prompt Tuning for Large Language Models Wei-wei Zhu Aaron Xuxiang Tian Congrui Yin Yuan Ni Xiaoling Wang Guotong Xie 48 0 0 28 May 2024
Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment Analysis Guangmin Zheng Jin Wang Liang-Chih Yu Xuejie Zhang 37 2 0 28 May 2024
RE-Adapt: Reverse Engineered Adaptation of Large Language Models William Fleshman Benjamin Van Durme VLM 29 3 0 23 May 2024
Instruction Tuning With Loss Over Instructions Zhengyan Shi Adam X. Yang Bin Wu Laurence Aitchison Emine Yilmaz Aldo Lipani ALM 24 20 0 23 May 2024
Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning Yuanhao Yue Chengyu Wang Jun Huang Peng Wang ALM 30 4 0 22 May 2024
Effective In-Context Example Selection through Data Compression Zhongxiang Sun Kepu Zhang Haoyu Wang Xiao Zhang Jun Xu 41 2 0 19 May 2024
Prompt Exploration with Prompt Regression Michael Feffer Ronald Xu Yuekai Sun Mikhail Yurochkin 38 0 0 17 May 2024
UCCIX: Irish-eXcellence Large Language Model Khanh-Tung Tran Barry O'Sullivan Hoang D. Nguyen 35 4 0 13 May 2024
DEPTH: Discourse Education through Pre-Training Hierarchically Zachary Bamberger Ofek Glick Chaim Baskin Yonatan Belinkov 67 0 0 13 May 2024
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? Zorik Gekhman G. Yona Roee Aharoni Matan Eyal Amir Feder Roi Reichart Jonathan Herzig 52 104 0 09 May 2024
Learning To See But Forgetting To Follow: Visual Instruction Tuning Makes LLMs More Prone To Jailbreak Attacks Georgios Pantazopoulos Amit Parekh Malvina Nikandrou Alessandro Suglia 32 5 0 07 May 2024
Large Language Models Reveal Information Operation Goals, Tactics, and Narrative Frames Keith Burghardt Kai Chen Kristina Lerman 48 0 0 06 May 2024
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform Ziqi Gao Qichao Wang Aochuan Chen Zijing Liu Bingzhe Wu Liang Chen Jia Li 48 26 0 05 May 2024
HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models Gabriel H. Sarch Sahil Somani Raghav Kapoor Michael J. Tarr Katerina Fragkiadaki LM&Ro LLMAG 37 3 0 29 Apr 2024
Evaluation of Few-Shot Learning for Classification Tasks in the Polish Language Tsimur Hadeliya D. Kajtoch 46 0 0 27 Apr 2024
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors Guozheng Li Peng Wang Jiajun Liu Yikai Guo Ke Ji Ziyu Shang Zijie Xu LRM 35 7 0 27 Apr 2024
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models Mihir Parmar Nisarg Patel Neeraj Varshney Mutsumi Nakamura Man Luo Santosh Mashetty Arindam Mitra Chitta Baral LRM ReLM ELM 38 24 0 23 Apr 2024
Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice? D. Zhu Pinzhen Chen Miaoran Zhang Barry Haddow Xiaoyu Shen Dietrich Klakow 49 9 0 22 Apr 2024
Sample Design Engineering: An Empirical Study of What Makes Good Downstream Fine-Tuning Samples for LLMs Biyang Guo He Wang Wenyilin Xiao Hong Chen Zhuxin Lee Songqiao Han Hailiang Huang 27 2 0 19 Apr 2024