Papers
An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance
Simran Khanuja, Sathyanarayanan Ramamoorthy, Yueqi Song et al.
An Incremental Clustering Baseline for Event Detection on Twitter
Marjolaine Ray, Qi Wang, Frédérique Mélanie-Becquet et al.
An Instruction Tuning-Based Contrastive Learning Framework for Aspect Sentiment Quad Prediction with Implicit Aspects and Opinions
Hao Zhang, Yu-N Cheah, Congqing He et al.
An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference
Yu Lin, Qizhi Zhang, Quanwei Cai et al.
An L* Algorithm for Deterministic Weighted Regular Languages
Clemente Pasti, Talu Karagöz, Franz Nowak et al.
An LLM-Enabled Knowledge Elicitation and Retrieval Framework for Zero-Shot Cross-Lingual Stance Identification
Ruike Zhang, Yuan Tian, Penghui Wei et al.
An LLM Feature-based Framework for Dialogue Constructiveness Assessment
Lexin Zhou, Youmna Farag, Andreas Vlachos
An NLP Case Study on Predicting the Before and After of the Ukraine–Russia and Hamas–Israel Conflicts
Jordan Miner, John E. Ortega
Annotating Mystery Novels: Guidelines and Adaptations
Nuette Heyns, Menno Van Zaanen
Annotation alignment: Comparing LLM and human annotations of conversational safety
Rajiv Movva, Pang Wei Koh, Emma Pierson
Annotator-Centric Active Learning for Subjective NLP Tasks
Michiel van der Meer, Neele Falk, Pradeep K. Murukannaiah et al.
An Open-Source Data Contamination Report for Large Language Models
Yucheng Li, Yunhao Guo, Frank Guerin et al.
A Notion of Complexity for Theory of Mind via Discrete World Models
X. Angelo Huang, Emanuele La Malfa, Samuele Marro et al.
A Novel Instruction Tuning Method for Vietnamese Mathematical Reasoning using Trainable Open-Source Large Language Models
Quang-Vinh Nguyen, Thanh-Do Nguyen, Van-Vinh Nguyen et al.
A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenarios
Samuel Ackerman, Ella Rabinovich, Eitan Farchi et al.
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records
Joakim Edin, Maria Maistro, Lars Maaløe et al.
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model
Seungwhan Moon, Andrea Madotto, Zhaojiang Lin et al.
“Any Other Thoughts, Hedgehog?” Linking Deliberation Chains in Collaborative Dialogues
Abhijnan Nath, Videep Venkatesha, Mariah Bradford et al.
AnyTrans: Translate AnyText in the Image with Large Scale Models
Zhipeng Qian, Pei Zhang, Baosong Yang et al.
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners
Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao et al.
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
Jiayuan Su, Jing Luo, Hongwei Wang et al.
ApiQ: Finetuning of 2-Bit Quantized Large Language Model
Baohao Liao, Christian Herold, Shahram Khadivi et al.
A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents
Ankan Mullick, Sombit Bose, Abhilash Nandy et al.
AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction
Hongru Wang, Rui Wang, Boyang Xue et al.
APPLS: Evaluating Evaluation Metrics for Plain Language Summarization
Yue Guo, Tal August, Gondy Leroy et al.