Papers
Leveraging the Structure of Pre-trained Embeddings to Minimize Annotation Effort
Cesar Gonzalez-Gutierrez, Ariadna Quattoni
Leveraging Wikidata for Biomedical Entity Linking in a Low-Resource Setting: A Case Study for German
Faizan E Mustafa, Corina Dima, Juan Ochoa et al.
Lexical Substitution as Causal Language Modeling
Ning Shi, Bradley Hauer, Grzegorz Kondrak
Lexicans at Chemotimelines 2024: Chemotimeline Chronicles - Leveraging Large Language Models (LLMs) for Temporal Relations Extraction in Oncological Electronic Health Records
Vishakha Sharma, Andres Fernandez, Andrei Ioanovici et al.
LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs
Yongrae Jo, Seongyun Lee, Minju Seo et al.
Lifelong Event Detection with Embedding Space Separation and Compaction
Chengwei Qin, Ruirui Chen, Ruochen Zhao et al.
LifeTox: Unveiling Implicit Toxicity in Life Advice
Minbeom Kim, Jahyun Koo, Hwanhee Lee et al.
LinguisTech at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversation
Mihaela Alexandru, Călina Ciocoiu, Ioana Măniga et al.
Lisbon Computational Linguists at SemEval-2024 Task 2: Using a Mistral-7B Model and Data Augmentation
Artur Guimarães, Bruno Martins, João Magalhães
Llama meets EU: Investigating the European political spectrum through the lens of LLMs
Ilias Chalkidis, Stephanie Brandl
LlamaMTS: Optimizing Metastasis Detection with Llama Instruction Tuning and BERT-Based Ensemble in Italian Clinical Reports
Livia Lilli, Stefano Patarnello, Carlotta Masciocchi et al.
LLaMA-Rider: Spurring Large Language Models to Explore the Open World
Yicheng Feng, Yuxuan Wang, Jiazheng Liu et al.
LLatrieval: LLM-Verified Retrieval for Verifiable Generation
Xiaonan Li, Changtai Zhu, Linyang Li et al.
LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?
Qihui Zhang, Chujie Gao, Dongping Chen et al.
LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages
Jared Coleman, Bhaskar Krishnamachari, Ruben Rosales et al.
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems
Jisoo Mok, Mohammad Kachuee, Shuyang Dai et al.
LLM-based Medical Assistant Personalization with Short- and Long-Term Memory Coordination
Kai Zhang, Yangyang Kang, Fubang Zhao et al.
LLM-Based Section Identifiers Excel on Open Source but Stumble in Real World Applications
Saranya Krishnamoorthy, Ayush Singh, Shabnam Tafreshi
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations
Qianli Wang, Tatiana Anikina, Nils Feldhus et al.
LLM-Driven Knowledge Injection Advances Zero-Shot and Cross-Target Stance Detection
Zhao Zhang, Yiming Li, Jin Zhang et al.
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
Hanjia Lyu, Song Jiang, Hanqing Zeng et al.
LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback
Wenda Xu, Daniel Deutsch, Mara Finkelstein et al.
LLMs Are Few-Shot In-Context Low-Resource Language Learners
Samuel Cahyawijaya, Holy Lovenia, Pascale Fung
LLMs in Short Answer Scoring: Limitations and Promise of Zero-Shot and Few-Shot Approaches
Imran Chamieh, Torsten Zesch, Klaus Giebermann