Papers
Event Causality Identification with Synthetic Control
Haoyu Wang, Fengze Liu, Jiayao Zhang et al.
Event-Keyed Summarization
William Gantt, Alexander Martin, Pavlo Kuchmiichuk et al.
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs
Ronit Singal, Pransh Patwa, Parth Patwa et al.
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
Sungho Ko, Hyunjin Cho, Hyungjoo Chae et al.
Evidence Retrieval for Fact Verification using Multi-stage Reranking
Shrikant Malviya, Stamos Katsigiannis
Evolutionary Contrastive Distillation for Language Model Alignment
Julian Katz-Samuels, Zheng Li, Hyokun Yun et al.
EvoR: Evolving Retrieval for Code Generation
Hongjin Su, Shuyang Jiang, Yuhang Lai et al.
Examining Language Modeling Assumptions Using an Annotated Literary Dialect Corpus
Craig Messner, Tom Lippincott
Expanding FLORES+ Benchmark for More Low-Resource Settings: Portuguese-Emakhuwa Machine Translation Evaluation
Felermino Dario Mario Ali, Henrique Lopes Cardoso, Rui Sousa-Silva
Expanding the FLORES+ Multilingual Benchmark with Translations for Aragonese, Aranese, Asturian, and Valencian
Juan Antonio Perez-Ortiz, Felipe Sánchez-Martínez, Víctor M. Sánchez-Cartagena et al.
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.
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