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 / 2,724 papers shown

Title
Croppable Knowledge Graph Embedding Yushan Zhu Wen Zhang Zhiqiang Liu Mingyang Chen Lei Liang Huajun Chen 30 0 0 03 Jul 2024
MLKD-BERT: Multi-level Knowledge Distillation for Pre-trained Language Models Ying Zhang Ziheng Yang Shufan Ji KELM 26 1 0 03 Jul 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 60 0 0 02 Jul 2024
EconNLI: Evaluating Large Language Models on Economics Reasoning Yue Guo Yi Yang 32 4 0 01 Jul 2024
LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation Longchao Da Tiejin Chen Lu Cheng Hua Wei 50 11 0 01 Jul 2024
Exploring Advanced Large Language Models with LLMsuite Giorgio Roffo LLMAG 27 0 0 01 Jul 2024
How Does Overparameterization Affect Features? Ahmet Cagri Duzgun Samy Jelassi Yuanzhi Li 31 0 0 01 Jul 2024
Self-Translate-Train: A Simple but Strong Baseline for Cross-lingual Transfer of Large Language Models Ryokan Ri Shun Kiyono Sho Takase SyDa 34 0 0 29 Jun 2024
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP Omer Goldman Alon Jacovi Aviv Slobodkin Aviya Maimon Ido Dagan Reut Tsarfaty 66 11 0 29 Jun 2024
UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models Siyuan Wu Yue Huang Chujie Gao Dongping Chen Qihui Zhang ... Tianyi Zhou Xiangliang Zhang Jianfeng Gao Chaowei Xiao Lichao Sun SyDa 40 22 0 27 Jun 2024
Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems Italo Luis da Silva Hanqi Yan Lin Gui Yulan He CML 39 0 0 26 Jun 2024
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning Yifan Yang Kai Zhen Ershad Banijamal Athanasios Mouchtaris Zheng Zhang 42 8 0 26 Jun 2024
Decoding with Limited Teacher Supervision Requires Understanding When to Trust the Teacher Hyunjong Ok Jegwang Ryu Jaeho Lee 45 0 0 26 Jun 2024
ViANLI: Adversarial Natural Language Inference for Vietnamese Tin Van Huynh Kiet Van Nguyen Ngan Luu-Thuy Nguyen 30 0 0 25 Jun 2024
Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients Aashiq Muhamed Oscar Li David Woodruff Mona Diab Virginia Smith 61 7 0 25 Jun 2024
"Seeing the Big through the Small": Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations? Beiduo Chen Xinpeng Wang Siyao Peng Robert Litschko Anna Korhonen Barbara Plank 49 6 0 25 Jun 2024
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection Saachi Jain Kimia Hamidieh Kristian Georgiev Andrew Ilyas Marzyeh Ghassemi Aleksander Madry 42 2 0 24 Jun 2024
Exploring Factual Entailment with NLI: A News Media Study Guy Mor-Lan Effi Levi 61 0 0 24 Jun 2024
Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics Weijia Zhang Mohammad Aliannejadi Yifei Yuan Jiahuan Pei Jia-Hong Huang Evangelos Kanoulas HILM 31 12 0 21 Jun 2024
Optimised Grouped-Query Attention Mechanism for Transformers Yuang Chen Cheng Zhang Xitong Gao Robert D. Mullins George A. Constantinides Yiren Zhao 46 8 0 21 Jun 2024
Depth $F_1$ : Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic Generalizability Parker Seegmiller Joseph Gatto S. Preum VLM 29 0 0 20 Jun 2024
Revealing Vision-Language Integration in the Brain with Multimodal Networks Vighnesh Subramaniam C. Conwell Christopher Wang Gabriel Kreiman Boris Katz Ignacio Cases Andrei Barbu 35 8 0 20 Jun 2024
Information Guided Regularization for Fine-tuning Language Models Mandar Sharma Nikhil Muralidhar Shengzhe Xu Raquib Bin Yousuf Naren Ramakrishnan 38 0 0 20 Jun 2024
When Parts are Greater Than Sums: Individual LLM Components Can Outperform Full Models Ting-Yun Chang Jesse Thomason Robin Jia 45 4 0 19 Jun 2024
Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages Fabian David Schmidt Philipp Borchert Ivan Vulić Goran Glavaš 42 5 0 18 Jun 2024
FuseGen: PLM Fusion for Data-generation based Zero-shot Learning Tianyuan Zou Yang Liu Peng Li Jianqing Zhang Jingjing Liu Ya-Qin Zhang 36 3 0 18 Jun 2024
GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace Theory Haoze Wu Zihan Qiu Zili Wang Hang Zhao Jie Fu MoE 51 3 0 18 Jun 2024
Knowledge Fusion By Evolving Weights of Language Models Guodong Du Jing Li Hanting Liu Runhua Jiang Shuyang Yu Yifei Guo S. Goh Ho-Kin Tang MoMe 44 8 0 18 Jun 2024
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding Ukyo Honda Tatsushi Oka Peinan Zhang Masato Mita 52 1 0 17 Jun 2024
A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic Inferences Leonardo Bertolazzi Albert Gatt Raffaella Bernardi LRM ELM 29 3 0 17 Jun 2024
An Empirical Investigation of Matrix Factorization Methods for Pre-trained Transformers Ashim Gupta Sina Mahdipour Saravani P. Sadayappan Vivek Srikumar 35 2 0 17 Jun 2024
Self-training Large Language Models through Knowledge Detection Wei Jie Yeo Teddy Ferdinan Przemyslaw Kazienko Ranjan Satapathy Erik Cambria 41 9 0 17 Jun 2024
FamiCom: Further Demystifying Prompts for Language Models with Task-Agnostic Performance Estimation Bangzheng Li Ben Zhou Xingyu Fu Fei Wang Dan Roth Muhao Chen 28 3 0 17 Jun 2024
Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolbox Yijun Liu Yuan Meng Fang Wu Shenhao Peng Hang Yao Chaoyu Guan Chen Tang Xinzhu Ma Zhi Wang Wenwu Zhu MQ 58 7 0 15 Jun 2024
Pcc-tuning: Breaking the Contrastive Learning Ceiling in Semantic Textual Similarity Bowen Zhang Chunping Li 50 0 0 14 Jun 2024
Self-Knowledge Distillation for Learning Ambiguity Hancheol Park Soyeong Jeong Sukmin Cho Jong C. Park 34 0 0 14 Jun 2024
Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning Hui Liu Wenya Wang Hao Sun Chris Xing Tian Chenqi Kong Xin Dong Haoliang Li 54 5 0 14 Jun 2024
ReadCtrl: Personalizing text generation with readability-controlled instruction learning Hieu Tran Zonghai Yao Lingxi Li Hong-ye Yu 54 2 0 13 Jun 2024
When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models Haoran You Yichao Fu Zheng Wang Amir Yazdanbakhsh Yingyan Celine Lin 45 2 0 11 Jun 2024
Transferring Knowledge from Large Foundation Models to Small Downstream Models Shikai Qiu Boran Han Danielle C. Maddix Shuai Zhang Yuyang Wang Andrew Gordon Wilson 38 1 0 11 Jun 2024
Decipherment-Aware Multilingual Learning in Jointly Trained Language Models Grandee Lee 34 0 0 11 Jun 2024
Symmetric Dot-Product Attention for Efficient Training of BERT Language Models Martin Courtois Malte Ostendorff Leonhard Hennig Georg Rehm 39 2 0 10 Jun 2024
Multi-Prompting Decoder Helps Better Language Understanding Zifeng Cheng Zhaoling Chen Zhiwei Jiang Yafeng Yin Shiping Ge Yuliang Liu Qing Gu AI4CE 50 1 0 10 Jun 2024
GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge? Dayoon Ko Jinyoung Kim Hahyeon Choi Gunhee Kim CLL RALM KELM 33 4 0 09 Jun 2024
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation Neeraj Varshney Satyam Raj Venkatesh Mishra Agneet Chatterjee Ritika Sarkar Amir Saeidi Chitta Baral LRM 43 7 0 08 Jun 2024
Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss Bowen Zhang Chunping Li 50 2 0 08 Jun 2024
SuperPos-Prompt: Enhancing Soft Prompt Tuning of Language Models with Superposition of Multi Token Embeddings MohammadAli SadraeiJavaeri Ehsaneddin Asgari A. Mchardy Hamid R. Rabiee VLM AAML 26 0 0 07 Jun 2024
VTrans: Accelerating Transformer Compression with Variational Information Bottleneck based Pruning Oshin Dutta Ritvik Gupta Sumeet Agarwal 44 1 0 07 Jun 2024
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions Jingtan Wang Xiaoqiang Lin Rui Qiao Chuan-Sheng Foo Bryan Kian Hsiang Low TDI 43 4 0 07 Jun 2024
Semantically Diverse Language Generation for Uncertainty Estimation in Language Models L. Aichberger Kajetan Schweighofer Mykyta Ielanskyi Sepp Hochreiter HILM 30 10 0 06 Jun 2024