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A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

18 April 2017

Papers citing "A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference"

50 / 2,772 papers shown

Title
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training Jaehyung Kim Yuning Mao Rui Hou Hanchao Yu Davis Liang Pascale Fung Qifan Wang Fuli Feng Lifu Huang Madian Khabsa AAML 63 4 0 07 Dec 2023
Mitigating Open-Vocabulary Caption Hallucinations Assaf Ben-Kish Moran Yanuka Morris Alper Raja Giryes Hadar Averbuch-Elor MLLM VLM 123 6 0 06 Dec 2023
Improving Bias Mitigation through Bias Experts in Natural Language Understanding Eojin Jeon Mingyu Lee Juhyeong Park Yeachan Kim Wing-Lam Mok SangKeun Lee 47 2 0 06 Dec 2023
Multitask Learning Can Improve Worst-Group Outcomes Atharva Kulkarni Lucio Dery Amrith Rajagopal Setlur Aditi Raghunathan Ameet Talwalkar Graham Neubig 94 2 0 05 Dec 2023
Leveraging Domain Adaptation and Data Augmentation to Improve Quránic IR in English and Arabic Vera Pavlova 73 2 0 05 Dec 2023
An Evaluation Framework for Mapping News Headlines to Event Classes in a Knowledge Graph Steve Fonin Mbouadeu Martin Lorenzo Ken Barker Oktie Hassanzadeh 68 2 0 04 Dec 2023
Expand BERT Representation with Visual Information via Grounded Language Learning with Multimodal Partial Alignment Cong-Duy Nguyen The-Anh Vu-Le Thong Nguyen Tho Quan Anh Tuan Luu 100 6 0 04 Dec 2023
REDUCR: Robust Data Downsampling Using Class Priority Reweighting William Bankes George Hughes Ilija Bogunovic Zi Wang 70 4 0 01 Dec 2023
A Bayesian approach for prompt optimization in pre-trained language models Antonio Sabbatella Andrea Ponti Antonio Candelieri I. Giordani Francesco Archetti 64 2 0 01 Dec 2023
PEFTDebias : Capturing debiasing information using PEFTs Sumit Agarwal Aditya Srikanth Veerubhotla Srijan Bansal 80 3 0 01 Dec 2023
Textual-Knowledge-Guided Numerical Feature Discovery Method for Power Demand Forecasting Zifan Ning Min Jin 29 0 0 30 Nov 2023
LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models Marwa Abdulhai Isadora White Charles Burton Snell Charles Sun Joey Hong Yuexiang Zhai Kelvin Xu Sergey Levine LLMAG OffRL LRM 87 42 0 30 Nov 2023
LayerCollapse: Adaptive compression of neural networks Soheil Zibakhsh Shabgahi Mohammad Soheil Shariff F. Koushanfar AI4CE 61 1 0 29 Nov 2023
ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization Prateek Yadav Leshem Choshen Colin Raffel Mohit Bansal 91 14 0 22 Nov 2023
Sparse Low-rank Adaptation of Pre-trained Language Models Ning Ding Xingtai Lv Qiaosen Wang Yulin Chen Bowen Zhou Zhiyuan Liu Maosong Sun 80 70 0 20 Nov 2023
Compositional Fusion of Signals in Data Embedding Zhijin Guo Zhaozhen Xu Martha Lewis N. Cristianini 63 0 0 18 Nov 2023
DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines Chenyu Jiang Zhen Jia Shuai Zheng Yida Wang Chuan Wu MoE AI4CE 34 8 0 17 Nov 2023
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering Bingsheng Yao Guiming Hardy Chen Ruishi Zou Yuxuan Lu Jiachen Li Shao Zhang Yisi Sang Sijia Liu James A. Hendler Dakuo Wang 81 15 0 16 Nov 2023
Translation Aligned Sentence Embeddings for Turkish Language Eren Unlu Unver Ciftci 61 0 0 16 Nov 2023
A Self-enhancement Multitask Framework for Unsupervised Aspect Category Detection Thi-Nhung Nguyen Hoang Ngo Kiem-Hieu Nguyen Tuan-Dung Cao 61 1 0 16 Nov 2023
GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks Shivanshu Gupta Clemens Rosenbaum Ethan R. Elenberg LRM 77 8 0 16 Nov 2023
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals Yanai Elazar Bhargavi Paranjape Hao Peng Sarah Wiegreffe Khyathi Raghavi Vivek Srikumar Sameer Singh Noah A. Smith AAML OOD 65 0 0 16 Nov 2023
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation Haoyi Qiu Kung-Hsiang Huang Jingnong Qu Nanyun Peng HILM 72 6 0 16 Nov 2023
Show Your Work with Confidence: Confidence Bands for Tuning Curves Nicholas Lourie Kyunghyun Cho He He 37 2 0 16 Nov 2023
Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs Michael J.Q. Zhang Eunsol Choi 86 38 0 16 Nov 2023
ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models Jierui Li Vipul Raheja Dhruv Kumar SyDa 62 5 0 15 Nov 2023
AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph Zhaowei Wang Haochen Shi Weiqi Wang Tianqing Fang Hongming Zhang Sehyun Choi Xin Liu Yangqiu Song 95 20 0 15 Nov 2023
In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax Aaron Mueller Albert Webson Jackson Petty Tal Linzen ReLM LRM 103 16 0 13 Nov 2023
Using Natural Language Explanations to Improve Robustness of In-context Learning Xuanli He Yuxiang Wu Oana-Maria Camburu Pasquale Minervini Pontus Stenetorp AAML 75 1 0 13 Nov 2023
ChartCheck: Explainable Fact-Checking over Real-World Chart Images Mubashara Akhtar Nikesh Subedi Vivek Gupta Sahar Tahmasebi O. Cocarascu Elena Simperl HAI 108 7 0 13 Nov 2023
How are Prompts Different in Terms of Sensitivity? Sheng Lu Hendrik Schuff Iryna Gurevych 89 20 0 13 Nov 2023
Mirror: A Universal Framework for Various Information Extraction Tasks Tong Zhu Junfei Ren Zijian Yu Mengsong Wu Guoliang Zhang Xiaoye Qu Wenliang Chen Zhefeng Wang Baoxing Huai Min Zhang 89 14 0 09 Nov 2023
BeLLM: Backward Dependency Enhanced Large Language Model for Sentence Embeddings Xianming Li Jing Li 78 16 0 09 Nov 2023
A Survey of Large Language Models in Medicine: Progress, Application, and Challenge Hongjian Zhou Fenglin Liu Boyang Gu Xinyu Zou Jinfa Huang ... Yefeng Zheng Lei A. Clifton Zheng Li Fenglin Liu David Clifton LM&MA 175 128 0 09 Nov 2023
Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks Aditi Mishra Sajjadur Rahman H. Kim Kushan Mitra Estevam R. Hruschka 65 8 0 09 Nov 2023
Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models Yiyuan Li Rakesh R Menon Sayan Ghosh Shashank Srivastava LRM 70 2 0 08 Nov 2023
Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability Jishnu Ray Chowdhury Cornelia Caragea 78 5 0 08 Nov 2023
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves Yihe Deng Weitong Zhang Zixiang Chen Quanquan Gu LRM 117 86 0 07 Nov 2023
PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models Haoran Li Dadi Guo Donghao Li Wei Fan Qi Hu Xin Liu Chunkit Chan Duanyi Yao Yuan Yao Yangqiu Song PILM 95 25 0 07 Nov 2023
Principles from Clinical Research for NLP Model Generalization Aparna Elangovan Jiayuan He Yuan Li Karin Verspoor CML 113 5 0 07 Nov 2023
An Efficient Self-Supervised Cross-View Training For Sentence Embedding Peerat Limkonchotiwat Wuttikorn Ponwitayarat Lalita Lowphansirikul Can Udomcharoenchaikit Ekapol Chuangsuwanich Sarana Nutanong SSL AI4TS 59 4 0 06 Nov 2023
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch Le Yu Yu Bowen Haiyang Yu Fei Huang Yongbin Li MoMe 124 337 0 06 Nov 2023
Not all layers are equally as important: Every Layer Counts BERT Lucas Georges Gabriel Charpentier David Samuel 106 18 0 03 Nov 2023
Post Turing: Mapping the landscape of LLM Evaluation Alexey Tikhonov Ivan P. Yamshchikov ELM 102 4 0 03 Nov 2023
Hint-enhanced In-Context Learning wakes Large Language Models up for knowledge-intensive tasks Yifan Wang Qingyan Guo Xinzhe Ni Chufan Shi Lemao Liu Haiyun Jiang Yujiu Yang ReLM RALM 51 8 0 03 Nov 2023
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance Song Wang Zhen Tan Ruocheng Guo Wenlin Yao NoLa 63 23 0 02 Nov 2023
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms Haoxiang Wang Gargi Balasubramaniam Haozhe Si Bo Li Han Zhao OOD 81 2 0 02 Nov 2023
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification Yongxin Huang Kexin Wang Sourav Dutta Raj Nath Patel Goran Glavaš Iryna Gurevych VLM 70 4 0 01 Nov 2023
IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models Xiaoyue Wang Xin Liu Lijie Wang Yaoxiang Wang Jinsong Su Hua Wu 74 2 0 01 Nov 2023
Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection Costas Mavromatis Balasubramaniam Srinivasan Zhengyuan Shen Jiani Zhang Huzefa Rangwala Christos Faloutsos George Karypis 60 26 0 30 Oct 2023