Papers
Search-in-Context: Efficient Multi-Hop QA over Long Contexts via Monte Carlo Tree Search with Dynamic KV Retrieval
Jiabei Chen, Guang Liu, Shizhu He et al.
Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion
Jianqing Zhu, Huang Huang, Zhihang Lin et al.
SECQUE: A Benchmark for Evaluating Real-World Financial Analysis Capabilities
Noga BenYoash, Menachem Brief, Oded Ovadia et al.
SECRET: Semi-supervised Clinical Trial Document Similarity Search
Trisha Das, Afrah Shafquat, Mandis Beigi et al.
SEE: Continual Fine-tuning with Sequential Ensemble of Experts
Zhilin Wang, Yafu Li, Xiaoye Qu et al.
SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science
Jie Ying, Zihong Chen, Zhefan Wang et al.
Seeing What Tastes Good: Revisiting Multimodal Distributional Semantics in the Billion Parameter Era
Dan Oneata, Desmond Elliott, Stella Frank
Seeking Rational Demonstrations for Large Language Models: A Domain Generalization Approach to Unsupervised Cross-Domain Keyphrase Generation
Guangzhen Zhao, Yu Yao, Dechang Kong et al.
SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization
Wendi Cui, Jiaxin Zhang, Zhuohang Li et al.
See the World, Discover Knowledge: A Chinese Factuality Evaluation for Large Vision Language Models
Jihao Gu, Yingyao Wang, Pi Bu et al.
Segmentation of Argumentative Texts by Key Statements for Argument Mining from the Web
Ines Zelch, Matthias Hagen, Benno Stein et al.
Segment-Based Attention Masking for GPTs
Shahar Katz, Liran Ringel, Yaniv Romano et al.
Segment First or Comprehend First? Explore the Limit of Unsupervised Word Segmentation with Large Language Models
Zihong Zhang, Liqi He, Zuchao Li et al.
Segment-Level Diffusion: A Framework for Controllable Long-Form Generation with Diffusion Language Models
Xiaochen Zhu, Georgi Karadzhov, Chenxi Whitehouse et al.
SEK: Self-Explained Keywords Empower Large Language Models for Code Generation
Lishui Fan, Mouxiang Chen, Zhongxin Liu
Selecting and Merging: Towards Adaptable and Scalable Named Entity Recognition with Large Language Models
Zhuojun Ding, Wei Wei, Chenghao Fan
Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching
Jianfei Zhang, Bei Li, Jun Bai et al.
Selective Shot Learning for Code Explanation
Paheli Bhattacharya, Rishabh Gupta
SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models
Kaushal Kumar Maurya, Kv Aditya Srivatsa, Ekaterina Kochmar
Select, Read, and Write: A Multi-Agent Framework of Full-Text-based Related Work Generation
Xiaochuan Liu, Ruihua Song, Xiting Wang et al.
Self-attention-based Graph-of-Thought for Math Problem Solving
Ruiqiao Bai, Xue Han, Shuo Lei et al.
Self-Contrastive Loop of Thought Method for Text-to-SQL Based on Large Language Model
Fengrui Kang, Mingxi Tan, Xianying Huang et al.
Self-Correction is More than Refinement: A Learning Framework for Visual and Language Reasoning Tasks
Jiayi He, Hehai Lin, Qingyun Wang et al.
Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering
Zheng Chu, Huiming Fan, Jingchang Chen et al.
SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence
Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar et al.