Papers
Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives
Runcong Zhao, Qinglin Zhu, Hainiu Xu et al.
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery
Zonglin Yang, Xinya Du, Junxian Li et al.
Large Language Models for Biomedical Knowledge Graph Construction: Information extraction from EMR notes
Vahan Arsenyan, Spartak Bughdaryan, Fadi Shaya et al.
Large Language Models Relearn Removed Concepts
Michelle Lo, Fazl Barez, Shay Cohen
Large Scale Narrative Messaging around Climate Change: A Cross-Cultural Comparison
Haiqi Zhou, David G Hobson, Derek Ruths et al.
Latent Learningscape Guided In-context Learning
Anlai Zhou, Sunshine Jiang, Yifei Liu et al.
Latin Treebanks in Review: An Evaluation of Morphological Tagging Across Time
Marisa Hudspeth, Brendan O’Connor, Laure Thompson
Latxa: An Open Language Model and Evaluation Suite for Basque
Julen Etxaniz, Oscar Sainz, Naiara Perez et al.
Layer-Condensed KV Cache for Efficient Inference of Large Language Models
Haoyi Wu, Kewei Tu
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich et al.
LC4EE: LLMs as Good Corrector for Event Extraction
Mengna Zhu, Kaisheng Zeng, JibingWu JibingWu et al.
LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation
Zengkui Sun, Yijin Liu, Fandong Meng et al.
Learnable Privacy Neurons Localization in Language Models
Ruizhe Chen, Tianxiang Hu, Yang Feng et al.
Learned Transformer Position Embeddings Have a Low-Dimensional Structure
Ulme Wennberg, Gustav Henter
Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving
Chenyang An, Zhibo Chen, Qihao Ye et al.
Learning Adverbs with Spectral Mixture Kernels
Tomoe Taniguchi, Daichi Mochihashi, Ichiro Kobayashi
Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game
Philipp Sadler, Sherzod Hakimov, David Schlangen
Learning Contextualized Box Embeddings with Prototypical Networks
Kohei Oda, Kiyoaki Shirai, Natthawut Kertkeidkachorn
Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks
Yingji Zhang, Danilo Carvalho, Andre Freitas
Learning Fine-Grained Grounded Citations for Attributed Large Language Models
Lei Huang, Xiaocheng Feng, Weitao Ma et al.
Learning-From-Mistakes Prompting for Indigenous Language Translation
You Cheng Liao, Chen-Jui Yu, Chi-Yi Lin et al.
Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias.
Reda Igbaria, Yonatan Belinkov
Learning Geometry-Aware Representations for New Intent Discovery
Kai Tang, Junbo Zhao, Xiao Ding et al.
Learning Global Controller in Latent Space for Parameter-Efficient Fine-Tuning
Zeqi Tan, Yongliang Shen, Xiaoxia Cheng et al.