Papers
Experience as Source for Anticipation and Planning: Experiential Policy Learning for Target-driven Recommendation Dialogues
Huy Quang Dao, Yang Deng, Khanh-Huyen Bui et al.
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently
Kanishka Misra, Allyson Ettinger, Kyle Mahowald
Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM
Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal et al.
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs
Yinhan He, Zaiyi Zheng, Patrick Soga et al.
Explaining Mixtures of Sources in News Articles
Alexander Spangher, James Youn, Matt DeButts et al.
Explaining the Hardest Errors of Contextual Embedding Based Classifiers
Claudio Moisés Valiense De Andrade, Washington Cunha, Guilherme Fonseca et al.
Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments
Omar Sharif, Joseph Gatto, Madhusudan Basak et al.
Explicit Inductive Inference using Large Language Models
Tianyang Liu, Tianyi Li, Liang Cheng et al.
Explicit Memory Learning with Expectation Maximization
Zhangyue Yin, Qiushi Sun, Qipeng Guo et al.
Exploiting Careful Design of SVM Solution for Aspect-term Sentiment Analysis
Hanfeng Liu, Minping Chen, Zhenya Zheng et al.
EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning
Kiran Purohit, Venktesh V, Raghuram Devalla et al.
Exploration of the CycleGN Framework for Low-Resource Languages
Sören Dreano, Derek Molloy, Noel Murphy
Exploring Automated Keyword Mnemonics Generation with Large Language Models via Overgenerate-and-Rank
Jaewook Lee, Hunter McNichols, Andrew Lan
Exploring Design Choices for Building Language-Specific LLMs
Atula Tejaswi, Nilesh Gupta, Eunsol Choi
Exploring Hint Generation Approaches for Open-Domain Question Answering
Jamshid Mozafari, Abdelrahman Abdallah, Bhawna Piryani et al.
Exploring Intra and Inter-language Consistency in Embeddings with ICA
Rongzhi Li, Takeru Matsuda, Hitomi Yanaka
Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation
Zhe Cao, Zhi Qu, Hidetaka Kamigaito et al.
Exploring Large Language Models for Qualitative Data Analysis
Tim Fischer, Chris Biemann
Exploring Multilingual Concepts of Human Values in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?
Shaoyang Xu, Weilong Dong, Zishan Guo et al.
Exploring Nested Named Entity Recognition with Large Language Models: Methods, Challenges, and Insights
Hongjin Kim, Jai-Eun Kim, Harksoo Kim
Exploring Quantization for Efficient Pre-Training of Transformer Language Models
Kamran Chitsaz, Quentin Fournier, Goncalo Mordido et al.
Exploring Question Guidance and Answer Calibration for Visually Grounded Video Question Answering
Yuanxing Xu, Yuting Wei, Shuai Zhong et al.