Papers
A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from Video
Keito Kudo, Haruki Nagasawa, Jun Suzuki et al.
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise
Jiaao Chen, Aston Zhang, Mu Li et al.
A Closer Look at Transformer Attention for Multilingual Translation
Jingyi Zhang, Gerard de Melo, Hongfei Xu et al.
A Closer Look into Using Large Language Models for Automatic Evaluation
Cheng-Han Chiang, Hung-yi Lee
A Comparative Analysis of Task-Agnostic Distillation Methods for Compressing Transformer Language Models
Takuma Udagawa, Aashka Trivedi, Michele Merler et al.
A Comparative Study of Prompting Strategies for Legal Text Classification
Ali Hakimi Parizi, Yuyang Liu, Prudhvi Nokku et al.
A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models
Karin de Langis, Dongyeop Kang
A Comprehensive Evaluation of Biomedical Entity Linking Models
David Kartchner, Jennifer Deng, Shubham Lohiya et al.
A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction
Ruihao Shui, Yixin Cao, Xiang Wang et al.
A Comprehensive Evaluation of Tool-Assisted Generation Strategies
Alon Jacovi, Avi Caciularu, Jonathan Herzig et al.
A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting
Pradyumna Tambwekar, Lakshita Dodeja, Nathan Vaska et al.
A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing
Carlos Gómez-Rodríguez, Paul Williams
ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos
Te-Lin Wu, Zi-Yi Dou, Qingyuan Hu et al.
A Critical Analysis of Document Out-of-Distribution Detection
Jiuxiang Gu, Yifei Ming, Yi Zhou et al.
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks
Po-Nien Kung, Fan Yin, Di Wu et al.
Active Learning for Natural Language Generation
Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer et al.
Active Learning Principles for In-Context Learning with Large Language Models
Katerina Margatina, Timo Schick, Nikolaos Aletras et al.
Active Retrieval Augmented Generation
Zhengbao Jiang, Frank Xu, Luyu Gao et al.
ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation
Xinpeng Wang, Barbara Plank
ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought
Hanchong Zhang, Ruisheng Cao, Lu Chen et al.
AdaBERT-CTC: Leveraging BERT-CTC for Text-Only Domain Adaptation in ASR
Tyler Vuong, Karel Mundnich, Dhanush Bekal et al.
Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting
Aseem Arora, Shabbirhussain Bhaisaheb, Harshit Nigam et al.
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi et al.
AdapterDistillation: Non-Destructive Task Composition with Knowledge Distillation
Junjie Wang, Yicheng Chen, Wangshu Zhang et al.