Papers
Solving Data-centric Tasks using Large Language Models
Shraddha Barke, Christian Poelitz, Carina Negreanu et al.
Solving General Natural-Language-Description Optimization Problems with Large Language Models
Jihai Zhang, Wei Wang, Siyan Guo et al.
Sõnajaht: Definition Embeddings and Semantic Search for Reverse Dictionary Creation
Aleksei Dorkin, Kairit Sirts
Source Code is a Graph, Not a Sequence: A Cross-Lingual Perspective on Code Clone Detection
Mohammed Rahaman, Julia Ive
Source-Free Unsupervised Domain Adaptation for Question Answering via Prompt-Assisted Self-learning
Maxwell Yin, Boyu Wang, Charles Ling
Spatial and Temporal Language Understanding: Representation, Reasoning, and Grounding
Parisa Kordjamshidi, Qiang Ning, James Pustejovsky et al.
SpeedE: Euclidean Geometric Knowledge Graph Embedding Strikes Back
Aleksandar Pavlović, Emanuel Sallinger
Speedy Gonzales: A Collection of Fast Task-Specific Models for Spanish
José Cañete, Felipe Bravo-Marquez
SportQA: A Benchmark for Sports Understanding in Large Language Models
Haotian Xia, Zhengbang Yang, Yuqing Wang et al.
SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLU
Evgeniia Razumovskaia, Goran Glavaš, Anna Korhonen et al.
SSN_ARMM at SemEval-2024 Task 10: Emotion Detection in Multilingual Code-Mixed Conversations using LinearSVC and TF-IDF
Rohith Arumugam S, Angel Deborah S, Rajalakshmi S et al.
SSN_Semeval10 at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversations
Antony Rajesh A, Supriya Abirami A, Chandrabose Aravindan et al.
Start Simple: Progressive Difficulty Multitask Learning
Yunfei Luo, Yuyang Liu, Rukai Cai et al.
Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections
Yuanpu Cao, Bochuan Cao, Jinghui Chen
StFX-NLP at SemEval-2024 Task 9: BRAINTEASER: Three Unsupervised Riddle-Solvers
Ethan Heavey, James Hughes, Milton King
Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation
Yao Lu, Jiayi Wang, Raphael Tang et al.
Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data?
Xiangru Tang, Yiming Zong, Jason Phang et al.
Structured Pruning for Large Language Models Using Coupled Components Elimination and Minor Fine-tuning
Honghe Zhang, Xiaolong Shi, Jingwei Sun et al.
Studying Language Variation Considering the Re-Usability of Modern Theories, Tools and Resources for Annotating Explicit and Implicit Events in Centuries Old Text
Stella Verkijk, Pia Sommerauer, Piek Vossen
Subjective Isms? On the Danger of Conflating Hate and Offence in Abusive Language Detection
Amanda Cercas Curry, Gavin Abercrombie, Zeerak Talat
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations
Sihao Chen, Hongming Zhang, Tong Chen et al.
Subspace Representations for Soft Set Operations and Sentence Similarities
Yoichi Ishibashi, Sho Yokoi, Katsuhito Sudoh et al.
Subword Attention and Post-Processing for Rare and Unknown Contextualized Embeddings
Raj Patel, Carlotta Domeniconi
SU-FMI at SemEval-2024 Task 5: From BERT Fine-Tuning to LLM Prompt Engineering - Approaches in Legal Argument Reasoning
Kristiyan Krumov, Svetla Boytcheva, Ivan Koytchev
SumCSE: Summary as a transformation for Contrastive Learning
Raghuveer Thirukovalluru, Xiaolan Wang, Jun Chen et al.