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"

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Title
GPT or BERT: why not both? Lucas Georges Gabriel Charpentier David Samuel 55 5 0 31 Dec 2024
In-Context Learning with Iterative Demonstration Selection Chengwei Qin Aston Zhang Chong Chen Anirudh Dagar Wenming Ye LRM 70 38 0 31 Dec 2024
Cut the Deadwood Out: Post-Training Model Purification with Selective Module Substitution Yao Tong Weijun Li Xuanli He Haolan Zhan Qiongkai Xu AAML 38 1 0 31 Dec 2024
MapExplorer: New Content Generation from Low-Dimensional Visualizations Xingjian Zhang Ziyang Xiong Shixuan Liu Yutong Xie Tolga Ergen Dongsub Shim Hua Xu Honglak Lee Qiaozhu Me 41 0 0 24 Dec 2024
Adversarial Robustness through Dynamic Ensemble Learning Hetvi Waghela Jaydip Sen Sneha Rakshit AAML 91 0 0 20 Dec 2024
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization Yue Zhang Liqiang Jing Vibhav Gogate 116 2 0 19 Dec 2024
A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI Beiduo Chen Siyao Peng Anna Korhonen Barbara Plank 76 0 0 18 Dec 2024
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference Benjamin Warner Antoine Chaffin Benjamin Clavié Orion Weller Oskar Hallström ... Tom Aarsen Nathan Cooper Griffin Adams Jeremy Howard Iacopo Poli 90 79 0 18 Dec 2024
In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning Yifei Duan Liu Li Zirui Zhai Jinxia Yao 80 0 0 17 Dec 2024
LinguaLIFT: An Effective Two-stage Instruction Tuning Framework for Low-Resource Language Reasoning Hongbin Zhang K. Chen Xuefeng Bai Yang Xiang Min Zhang 79 0 0 17 Dec 2024
Coverage-based Fairness in Multi-document Summarization Haoyuan Li Yusen Zhang Rui Zhang Snigdha Chaturvedi 80 0 0 11 Dec 2024
The Pitfalls of Memorization: When Memorization Hurts Generalization Reza Bayat Mohammad Pezeshki Elvis Dohmatob David Lopez-Paz Pascal Vincent OOD 105 3 0 10 Dec 2024
The Vulnerability of Language Model Benchmarks: Do They Accurately Reflect True LLM Performance? Sourav Banerjee Ayushi Agarwal Eishkaran Singh ELM 73 2 0 02 Dec 2024
Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers Chancharik Mitra Brandon Huang Tianning Chai Zhiqiu Lin Assaf Arbelle Rogerio Feris Leonid Karlinsky Trevor Darrell Deva Ramanan Roei Herzig VLM 134 4 0 28 Nov 2024
Sneaking Syntax into Transformer Language Models with Tree Regularization Ananjan Nandi Christopher D. Manning Shikhar Murty 74 0 0 28 Nov 2024
Can bidirectional encoder become the ultimate winner for downstream applications of foundation models? Lewen Yang Xuanyu Zhou Juao Fan Xinyi Xie Shengxin Zhu AI4CE 64 0 0 27 Nov 2024
Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models Y. Fu Yin Yu Xiaotian Han Runchao Li Xianxuan Long Haotian Yu Pan Li SyDa 67 0 0 25 Nov 2024
IterIS: Iterative Inference-Solving Alignment for LoRA Merging Hongxu Chen Runshi Li Bowei Zhu Zhen Wang Long Chen MoMe 98 0 0 21 Nov 2024
PatentEdits: Framing Patent Novelty as Textual Entailment Ryan Lee Alexander Spangher Xuezhe Ma 66 0 0 20 Nov 2024
Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised Domain Adaptation Yao Ma Samuel Louvan Z. Wang 28 0 0 11 Nov 2024
More Expressive Attention with Negative Weights Ang Lv Ruobing Xie Shuaipeng Li Jiayi Liao Xingchen Sun Zhanhui Kang Di Wang Rui Yan 42 0 0 11 Nov 2024
The Inherent Adversarial Robustness of Analog In-Memory Computing Corey Lammie Julian Büchel A. Vasilopoulos Manuel Le Gallo Abu Sebastian AAML 49 0 0 11 Nov 2024
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning Chaeyun Jang Hyungi Lee Jungtaek Kim Juho Lee MoMe 53 0 0 11 Nov 2024
The Empirical Impact of Data Sanitization on Language Models Anwesan Pal Radhika Bhargava Kyle Hinsz Jacques Esterhuizen Sudipta Bhattacharya 29 0 0 08 Nov 2024
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 37 1 0 05 Nov 2024
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention Xingtai Lv Ning Ding Kaiyan Zhang Ermo Hua Ganqu Cui Bowen Zhou 42 1 0 04 Nov 2024
Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior Mingxuan Zhang Y. Sun F. Liang 34 0 0 01 Nov 2024
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective Yeonsung Jung Jaeyun Song J. Yang Jin-Hwa Kim Sung-Yub Kim Eunho Yang 47 0 0 01 Nov 2024
P-Masking: Power Law Masking Improves Multi-attribute Controlled Generation Mohamed Elgaar Hadi Amiri AI4CE 36 0 0 31 Oct 2024
Multilingual Pretraining Using a Large Corpus Machine-Translated from a Single Source Language Jiayi Wang Yao Lu Maurice Weber Max Ryabinin Yihong Chen Raphael Tang Pontus Stenetorp LRM 47 1 0 31 Oct 2024
Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation Ahmed Akib Jawad Karim Kazi Hafiz Md. Asad Md. Golam Rabiul Alam AI4MH 47 2 0 30 Oct 2024
Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and Resolution Shikha Bordia AILaw 47 0 0 30 Oct 2024
Focus On This, Not That! Steering LLMs With Adaptive Feature Specification Tom A. Lamb Adam Davies Alasdair Paren Philip Torr Francesco Pinto 52 0 0 30 Oct 2024
Improving In-Context Learning with Small Language Model Ensembles M. Mehdi Mojarradi Lingyi Yang Robert McCraith Adam Mahdi 36 1 0 29 Oct 2024
LoRA vs Full Fine-tuning: An Illusion of Equivalence Reece Shuttleworth Jacob Andreas Antonio Torralba Pratyusha Sharma 35 10 0 28 Oct 2024
uOttawa at LegalLens-2024: Transformer-based Classification Experiments Nima Meghdadi Diana Inkpen AILaw 21 0 0 28 Oct 2024
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment Ge Yang Changyi He J. Guo Jianyu Wu Yifu Ding Aishan Liu Haotong Qin Pengliang Ji Xianglong Liu MQ 33 4 0 28 Oct 2024
Relation-based Counterfactual Data Augmentation and Contrastive Learning for Robustifying Natural Language Inference Models H. Yang Sseung-won Hwang Jungmin So 40 0 0 28 Oct 2024
MrT5: Dynamic Token Merging for Efficient Byte-level Language Models Julie Kallini Shikhar Murty Christopher D. Manning Christopher Potts Róbert Csordás 40 2 0 28 Oct 2024
A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation Haoyu Song Wenbo Zhang Kaiyan Zhang Ting Liu 32 3 0 26 Oct 2024
Model merging with SVD to tie the Knots George Stoica Pratik Ramesh B. Ecsedi Leshem Choshen Judy Hoffman MoMe 39 9 0 25 Oct 2024
Can Stories Help LLMs Reason? Curating Information Space Through Narrative Vahid Sadiri Javadi Johanne R. Trippas Yash Kumar Lal Lucie Flek 43 1 0 25 Oct 2024
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance Omer Nahum Nitay Calderon Orgad Keller Idan Szpektor Roi Reichart 27 2 0 24 Oct 2024
Task Calibration: Calibrating Large Language Models on Inference Tasks Yingjie Li Yun Luo Xiaotian Xie Yue Zhang LRM 21 0 0 24 Oct 2024
Atomic Fact Decomposition Helps Attributed Question Answering Zhichao Yan J. Wang Jiaoyan Chen Xiaoli Li Ru Li Jeff Z. Pan KELM HILM 36 0 0 22 Oct 2024
A Statistical Analysis of LLMs' Self-Evaluation Using Proverbs Ryosuke Sonoda Ramya Srinivasan 59 1 0 22 Oct 2024
Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors Mayank Nagda Phil Ostheimer Sophie Fellenz 51 0 0 22 Oct 2024
From Tokens to Materials: Leveraging Language Models for Scientific Discovery Yuwei Wan Tong Xie Nan Wu Wenjie Zhang Chunyu Kit B. Hoex 27 0 0 21 Oct 2024
Natural GaLore: Accelerating GaLore for memory-efficient LLM Training and Fine-tuning Arijit Das 26 1 0 21 Oct 2024
Towards Optimal Adapter Placement for Efficient Transfer Learning Aleksandra I. Nowak Otniel-Bogdan Mercea Anurag Arnab Jonas Pfeiffer Yann N. Dauphin Utku Evci 28 0 0 21 Oct 2024