Papers
SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models
Juan Pablo Munoz, Jinjie Yuan, Nilesh Jain
SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent
Jiarui Ji, Yang Li, Hongtao Liu et al.
SRF: Enhancing Document-Level Relation Extraction with a Novel Secondary Reasoning Framework
Fu Zhang, Qi Miao, Jingwei Cheng et al.
SRIB-NMT’s Submission to the Indic MT Shared Task in WMT 2024
Pranamya Patil, Raghavendra Hr, Aditya Raghuwanshi et al.
SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models
Vipul Kumar Rathore, Aniruddha Deb, Ankish Kumar Chandresh et al.
Stable Language Model Pre-training by Reducing Embedding Variability
Woojin Chung, Jiwoo Hong, Na Min An et al.
StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model
Minchan Kwon, Gaeun Kim, Jongsuk Kim et al.
StablePT : Towards Stable Prompting for Few-shot Learning via Input Separation
Xiaoming Liu, Chen Liu, Zhaohan Zhang et al.
Stanceformer: Target-Aware Transformer for Stance Detection
Krishna Garg, Cornelia Caragea
Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation
Joseph Marvin Imperial, Gail Forey, Harish Tayyar Madabushi
STARD: A Chinese Statute Retrieval Dataset Derived from Real-life Queries by Non-professionals
Weihang Su, Yiran Hu, Anzhe Xie et al.
Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledge
Young-Jun Lee, Dokyong Lee, Junyoung Youn et al.
STAR: SocioTechnical Approach to Red Teaming Language Models
Laura Weidinger, John F J Mellor, Bernat Guillén Pegueroles et al.
Statistical Uncertainty in Word Embeddings: GloVe-V
Andrea Vallebueno, Cassandra Handan-Nader, Christopher D Manning et al.
Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter?
Nemika Tyagi, Mihir Parmar, Mohith Kulkarni et al.
Step-level Value Preference Optimization for Mathematical Reasoning
Guoxin Chen, Minpeng Liao, Chengxi Li et al.
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
Nico Daheim, Jakub Macina, Manu Kapur et al.
Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosis
Amey Hengle, Atharva Kulkarni, Shantanu Deepak Patankar et al.
Stochastic Fine-Tuning of Language Models Using Masked Gradients
Mohammad Akbar-Tajari, Mohammad Taher Pilehvar
STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions
Robert Morabito, Sangmitra Madhusudan, Tyler McDonald et al.
Story Embeddings — Narrative-Focused Representations of Fictional Stories
Hans Ole Hatzel, Chris Biemann
Story Morals: Surfacing value-driven narrative schemas using large language models
David G Hobson, Haiqi Zhou, Derek Ruths et al.
StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children’s Story-Based Learning
Jiaju Chen, Yuxuan Lu, Shao Zhang et al.
STORYSUMM: Evaluating Faithfulness in Story Summarization
Melanie Subbiah, Faisal Ladhak, Akankshya Mishra et al.
StraGo: Harnessing Strategic Guidance for Prompt Optimization
Yurong Wu, Yan Gao, Bin Benjamin Zhu et al.