Papers
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning
Jingyu Hu, Weiru Liu, Mengnan Du
Streamlining Conformal Information Retrieval via Score Refinement
Yotam Intrator, Regev Cohen, Ori Kelner et al.
Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations
Matthias Lindemann, Alexander Koller, Ivan Titov
Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation
Tong Zhang, Chen Huang, Yang Deng et al.
Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations
Md Arafat Sultan, Jatin Ganhotra, Ramón Fernandez Astudillo
Structured Object Language Modeling (SO-LM): Native Structured Objects Generation Conforming to Complex Schemas with Self-Supervised Denoising
Amir Tavanaei, Kee Kiat Koo, Hayreddin Ceker et al.
Structured Optimal Brain Pruning for Large Language Models
Jiateng Wei, Quan Lu, Ning Jiang et al.
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text
Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke et al.
STTATTS: Unified Speech-To-Text And Text-To-Speech Model
Hawau Olamide Toyin, Hao Li, Hanan Aldarmaki
Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning
Shashank Sonkar, Naiming Liu, Richard Baraniuk
Studying and Mitigating Biases in Sign Language Understanding Models
Katherine Atwell, Danielle Bragg, Malihe Alikhani
Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles
Xiao Pu, Tianxing He, Xiaojun Wan
StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements
Jillian Fisher, Skyler Hallinan, Ximing Lu et al.
Style-Shifting Behaviour of the Manosphere on Reddit
Jai Aggarwal, Suzanne Stevenson
Style-Specific Neurons for Steering LLMs in Text Style Transfer
Wen Lai, Viktor Hangya, Alexander Fraser
Subjective Topic meets LLMs: Unleashing Comprehensive, Reflective and Creative Thinking through the Negation of Negation
Fangrui Lv, Kaixiong Gong, Jian Liang et al.
Subword Segmentation in LLMs: Looking at Inflection and Consistency
Marion Di Marco, Alexander Fraser
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections
Lingjun Zhao, Nguyen X. Khanh, Hal Daumé III
Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin
Svetlana Gorovaia, Gleb Schmidt, Ivan P. Yamshchikov
SummaCoz: A Dataset for Improving the Interpretability of Factual Consistency Detection for Summarization
Ge Luo, Weisi Fan, Miaoran Li et al.
Summarization-Based Document IDs for Generative Retrieval with Language Models
Alan Li, Daniel Cheng, Phillip Keung et al.
Summarizing Long Regulatory Documents with a Multi-Step Pipeline
Mika Sie, Ruby Beek, Michiel Bots et al.
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
Philippe Laban, Alexander Fabbri, Caiming Xiong et al.
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories
Ben Bogin, Kejuan Yang, Shashank Gupta et al.
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information
Jiashuo Sun, Jihai Zhang, Yucheng Zhou et al.