Papers
SedarEval: Automated Evaluation using Self-Adaptive Rubrics
Zhiyuan Fan, Weinong Wang, Xing W et al.
See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning
Chengxin Zheng, Junzhong Ji, Yanzhao Shi et al.
SEED: Semantic Knowledge Transfer for Language Model Adaptation to Materials Science
Yeachan Kim, Jun-Hyung Park, SungHo Kim et al.
“Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?
Beiduo Chen, Xinpeng Wang, Siyao Peng et al.
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
Weijun Li, Qiongkai Xu, Mark Dras
Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes
Dibyanayan Bandyopadhyay, Mohammed Hasanuzzaman, Asif Ekbal
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models
Jinghan He, Haiyun Guo, Kuan Zhu et al.
Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?
Neeladri Bhuiya, Viktor Schlegel, Stefan Winkler
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation
Xinping Zhao, Dongfang Li, Yan Zhong et al.
SEFLAG: Systematic Evaluation Framework for NLP Models and Datasets in Latin and Ancient Greek
Konstantin Schulz, Florian Deichsler
Seg2Act: Global Context-aware Action Generation for Document Logical Structuring
Zichao Li, Shaojie He, Meng Liao et al.
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
Markus Frohmann, Igor Sterner, Ivan Vulić et al.
SEGMENT+: Long Text Processing with Short-Context Language Models
Wei Shi, Shuang Li, Kerun Yu et al.
Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models
Carlos Aguirre, Kuleen Sasse, Isabel Cachola et al.
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability
Tsz Ting Chung, Leyang Cui, Lemao Liu et al.
Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model
Chen Huang, Yang Deng, Wenqiang Lei et al.
Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding
Jiwan Chung, Sungjae Lee, Minseo Kim et al.
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations
Milan Bhan, Jean-Noël Vittaut, Nicolas Chesneau et al.
Self-Assessment Tests are Unreliable Measures of LLM Personality
Akshat Gupta, Xiaoyang Song, Gopala Anumanchipalli
Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question Answering
Dongze Hao, Qunbo Wang, Longteng Guo et al.
Self-Consistency Boosts Calibration for Math Reasoning
Ante Wang, Linfeng Song, Ye Tian et al.
Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement
Yunlong Feng, Dechuan Teng, Yang Xu et al.
Self-contradictory reasoning evaluation and detection
Ziyi Liu, Soumya Sanyal, Isabelle Lee et al.
Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages
Fabian David Schmidt, Philipp Borchert, Ivan Vulić et al.
Self-Evaluation of Large Language Model based on Glass-box Features
Hui Huang, Yingqi Qu, Jing Liu et al.