Papers
Explaining Differences Between Model Pairs in Natural Language through Sample Learning
Advaith Malladi, Rakesh R Menon, Yuvraj Jain et al.
Explaining Domain Shifts in Language: Concept Erasing for Interpretable Image Classification
Zequn Zeng, Yudi Su, Jianqiao Sun et al.
Explaining Holistic Essay Scores in Comparative Judgment Assessments by Predicting Scores on Rubrics
Michiel De Vrindt, Renske Bouwer, Wim Van Den Noortgate et al.
Explaining Human Preferences via Metrics for Structured 3D Reconstruction
Jack Langerman, Denys Rozumnyi, Yuzhong Huang et al.
Explaining in Diffusion: Explaining a Classifier with Diffusion Semantics
Tahira Kazimi, Ritika Allada, Pinar Yanardag
Explaining Length Bias in LLM-Based Preference Evaluations
Zhengyu Hu, Linxin Song, Jieyu Zhang et al.
Explaining Matters: Leveraging Definitions and Semantic Expansion for Sexism Detection
Sahrish Khan, Arshad Jhumka, Gabriele Pergola
Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation
Itamar Zimerman, Ameen Ali Ali, Lior Wolf
Explaining novel senses using definition generation with open language models
Mariia Fedorova, Andrey Kutuzov, Francesco Periti et al.
Explaining Puzzle Solutions in Natural Language: An Exploratory Study on 6x6 Sudoku
Anirudh Maiya, Razan Alghamdi, Maria Leonor Pacheco et al.
Explaining Relationships Among Research Papers
Xiangci Li, Jessica Ouyang
Explain It as Simple as Possible, but No Simpler – Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint)
Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
Explain-then-Process: Using Grammar Prompting to Enhance Grammatical Acceptability Judgments
Russell Scheinberg, Ameeta Agrawal, Amber Shore et al.
Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs
Puxuan Yu, Daniel Cohen, Hemank Lamba et al.
Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons
Shahaf Bassan, Ron Eliav, Shlomit Gur
Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction
Wei Li, Wen Luo, Guangyue Peng et al.
Explanation Bottleneck Models
Shin'ya Yamaguchi, Kosuke Nishida
Explanation Regularisation through the Lens of Attributions
Pedro Ferreira, Ivan Titov, Wilker Aziz
Explanations explained. Influence of Free-text Explanations on LLMs and the Role of Implicit Knowledge
Andrea Zaninello, Roberto Dessi, Malvina Nissim et al.
Explanations for Multi-Agent Reinforcement Learning
Kayla Boggess
Explanations of GNN on Evolving Graphs via Axiomatic Layer edges
Yazheng Liu, Sihong Xie
Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring (Extended Abstract)
Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani et al.
ExpLay: A new Corpus Resource for the Research on Expertise as an Influential Factor on Language Production
Carmen Schacht, Renate Delucchi Danhier
ExpliCa: Evaluating Explicit Causal Reasoning in Large Language Models
Martina Miliani, Serena Auriemma, Alessandro Bondielli et al.
Explicit and Implicit Data Augmentation for Social Event Detection
Congbo Ma, Yuxia Wang, Jia Wu et al.