Papers
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT
Xiaoshuai Song, Keqing He, Pei Wang et al.
Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU
Fajri Koto, Nurul Aisyah, Haonan Li et al.
Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding
Bram van Dijk, Tom Kouwenhoven, Marco Spruit et al.
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning
Namrata Shivagunde, Vladislav Lialin, Anna Rumshisky
Large-Scale and Multi-Perspective Opinion Summarization with Diverse Review Subsets
Han Jiang, Rui Wang, Zhihua Wei et al.
Large-scale similarity search with Optimal Transport
Cléa Laouar, Yuki Takezawa, Makoto Yamada
Late Fusion of Transformers for Sentiment Analysis of Code-Switched Data
Gagan Sharma, R Chinmay, Raksha Sharma
Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study
Maike Züfle, Verna Dankers, Ivan Titov
LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs
Junnan Liu, Qianren Mao, Chenghua Lin et al.
Layered Bias: Interpreting Bias in Pretrained Large Language Models
Nirmalendu Prakash, Roy Ka-Wei Lee
LayoutDIT: Layout-Aware End-to-End Document Image Translation with Multi-Step Conductive Decoder
Zhiyang Zhang, Yaping Zhang, Yupu Liang et al.
Lazy-k Decoding: Constrained Decoding for Information Extraction
Arthur Hemmer, Mickael Coustaty, Nicola Bartolo et al.
LDM2: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement
Xingjin Wang, Linjing Li, Daniel Zeng
LEAF: Linguistically Enhanced Event Temporal Relation Framework
Stanley Lim, Da Yin, Nanyun Peng
Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing
Yeachan Kim, Junho Kim, Jun-Hyung Park et al.
Learn and Consolidate: Continual Adaptation for Zero-Shot and Multilingual Neural Machine Translation
Kaiyu Huang, Peng Li, Junpeng Liu et al.
Learn From One Specialized Sub-Teacher: One-to-One Mapping for Feature-Based Knowledge Distillation
Khouloud Saadi, Jelena Mitrović, Michael Granitzer
Learning Co-Speech Gesture for Multimodal Aphasia Type Detection
Daeun Lee, Sejung Son, Hyolim Jeon et al.
Learning Dynamic Representations for Discourse Dependency Parsing
Tianyi Liu, Yansong Feng, Dongyan Zhao
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix
Kuan-Hao Huang, Liang Tan, Rui Hou et al.
Learning From Free-Text Human Feedback – Collect New Datasets Or Extend Existing Ones?
Dominic Petrak, Nafise Moosavi, Ye Tian et al.
Learning from Mistakes via Cooperative Study Assistant for Large Language Models
Danqing Wang, Lei Li
Learning Interpretable Style Embeddings via Prompting LLMs
Ajay Patel, Delip Rao, Ansh Kothary et al.
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding
Taolin Zhang, Ruyao Xu, Chengyu Wang et al.