CAVE: Controllable Authorship Verification Explanations

24 June 2024

Papers citing "CAVE: Controllable Authorship Verification Explanations"

42 / 42 papers shown

Title
Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Nudrat Habib Tosin Adewumi Marcus Liwicki Elisa Barney 88 0 0 21 May 2025
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution Zhengmian Hu Tong Zheng Heng Huang BDL 72 2 0 29 Oct 2024
Can Large Language Models Identify Authorship? Baixiang Huang Canyu Chen Kai Shu DeLMO 49 17 0 13 Mar 2024
Tailoring Self-Rationalizers with Multi-Reward Distillation Sahana Ramnath Brihi Joshi Skyler Hallinan Ximing Lu Liunian Harold Li Aaron Chan Jack Hessel Yejin Choi Xiang Ren LRM ReLM 47 16 0 06 Nov 2023
Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification Chia-Yu Hung Zhiqiang Hu Yujia Hu Roy Ka-wei Lee 52 16 0 12 Oct 2023
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step Liunian Harold Li Jack Hessel Youngjae Yu Xiang Ren Kai-Wei Chang Yejin Choi LRM AI4CE ReLM 74 141 0 24 Jun 2023
Let's Verify Step by Step Hunter Lightman V. Kosaraju Yura Burda Harrison Edwards Bowen Baker Teddy Lee Jan Leike John Schulman Ilya Sutskever K. Cobbe ALM OffRL LRM 191 1,164 0 31 May 2023
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding Weijia Shi Xiaochuang Han M. Lewis Yulia Tsvetkov Luke Zettlemoyer Scott Yih HILM 56 207 0 24 May 2023
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint Wei Liu Jun Wang Yining Qi Rui Li Yang Qiu Yuankai Zhang Jie Han Yixiong Zou 83 13 0 23 May 2023
Learning Interpretable Style Embeddings via Prompting LLMs Ajay Patel D. Rao Ansh Kothary Kathleen McKeown Chris Callison-Burch 61 26 0 22 May 2023
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models Shangbin Feng Chan Young Park Yuhan Liu Yulia Tsvetkov 63 245 0 15 May 2023
ZARA: Improving Few-Shot Self-Rationalization for Small Language Models Wei-Lin Chen An-Zi Yen Cheng-Kuang Wu Hen-Hsen Huang Hsin-Hsi Chen ReLM LRM 50 11 0 12 May 2023
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales Brihi Joshi Ziyi Liu Sahana Ramnath Aaron Chan Zhewei Tong Shaoliang Nie Qifan Wang Yejin Choi Xiang Ren HAI LRM 61 33 0 11 May 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 304 546 0 03 May 2023
SCOTT: Self-Consistent Chain-of-Thought Distillation Jamie Yap Zhengyang Wang Zheng Li K. Lynch Bing Yin Xiang Ren LRM 96 95 0 03 May 2023
Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated? Ajay Patel Nicholas Andrews Chris Callison-Burch 66 7 0 18 Dec 2022
Explanations from Large Language Models Make Small Reasoners Better Shiyang Li Jianshu Chen Yelong Shen Zhiyu Zoey Chen Xinlu Zhang ... Jingu Qian Baolin Peng Yi Mao Wenhu Chen Xifeng Yan ReLM LRM 85 136 0 13 Oct 2022
Making Large Language Models Better Reasoners with Step-Aware Verifier Yifei Li Zeqi Lin Shizhuo Zhang Qiang Fu B. Chen Jian-Guang Lou Weizhu Chen ReLM LRM 82 223 0 06 Jun 2022
Quark: Controllable Text Generation with Reinforced Unlearning Ximing Lu Sean Welleck Jack Hessel Liwei Jiang Lianhui Qin Peter West Prithviraj Ammanabrolu Yejin Choi MU 140 216 0 26 May 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 513 4,077 0 24 May 2022
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations Jaehun Jung Lianhui Qin Sean Welleck Faeze Brahman Chandra Bhagavatula Ronan Le Bras Yejin Choi ReLM LRM 268 196 0 24 May 2022
Same Author or Just Same Topic? Towards Content-Independent Style Representations Anna Wegmann M. Schraagen D. Nguyen 54 50 0 11 Apr 2022
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal Umang Gupta Jwala Dhamala Varun Kumar Apurv Verma Yada Pruksachatkun Satyapriya Krishna Rahul Gupta Kai-Wei Chang Greg Ver Steeg Aram Galstyan 47 53 0 23 Mar 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction Aaron Chan Maziar Sanjabi Lambert Mathias L Tan Shaoliang Nie Xiaochang Peng Xiang Ren Hamed Firooz 77 43 0 16 Dec 2021
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models Peter West Chandrasekhar Bhagavatula Jack Hessel Jena D. Hwang Liwei Jiang Ronan Le Bras Ximing Lu Sean Welleck Yejin Choi SyDa 99 333 0 14 Oct 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 439 10,328 0 17 Jun 2021
Evaluating Explanations: How much do explanations from the teacher aid students? Danish Pruthi Rachit Bansal Bhuwan Dhingra Livio Baldini Soares Michael Collins Zachary Chase Lipton Graham Neubig William W. Cohen FAtt XAI 60 109 0 01 Dec 2020
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 313 182 0 24 Oct 2020
Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? Peter Hase Shiyue Zhang Harry Xie Joey Tianyi Zhou 53 101 0 08 Oct 2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLP Su Lin Blodgett Solon Barocas Hal Daumé Hanna M. Wallach 155 1,242 0 28 May 2020
WT5?! Training Text-to-Text Models to Explain their Predictions Sharan Narang Colin Raffel Katherine Lee Adam Roberts Noah Fiedel Karishma Malkan 58 201 0 30 Apr 2020
Explainable Authorship Verification in Social Media via Attention-based Similarity Learning Benedikt T. Boenninghoff Steffen Hessler D. Kolossa R. M. Nickel 45 62 0 17 Oct 2019
Attention is not not Explanation Sarah Wiegreffe Yuval Pinter XAI AAML FAtt 120 909 0 13 Aug 2019
Parameter-Efficient Transfer Learning for NLP N. Houlsby A. Giurgiu Stanislaw Jastrzebski Bruna Morrone Quentin de Laroussilhe Andrea Gesmundo Mona Attariyan Sylvain Gelly 210 4,460 0 02 Feb 2019
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 411 638 0 04 Dec 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 499 19,065 0 20 Jul 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,906 0 22 May 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 188 5,989 0 04 Mar 2017
Understanding Neural Networks through Representation Erasure Jiwei Li Will Monroe Dan Jurafsky AAML MILM 88 565 0 24 Dec 2016
Rationalizing Neural Predictions Tao Lei Regina Barzilay Tommi Jaakkola 113 812 0 13 Jun 2016
Representation of linguistic form and function in recurrent neural networks Ákos Kádár Grzegorz Chrupała Afra Alishahi 65 162 0 29 Feb 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,976 0 16 Feb 2016