Papers
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
LMEME at SemEval-2024 Task 4: Teacher Student Fusion - Integrating CLIP with LLMs for Enhanced Persuasion Detection
Shiyi Li, Yike Wang, Liang Yang et al.
LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models
Shizhe Diao, Rui Pan, Hanze Dong et al.
LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models
Chi Han, Qifan Wang, Hao Peng et al.
LMU-BioNLP at SemEval-2024 Task 2: Large Diverse Ensembles for Robust Clinical NLI
Zihang Sun, Danqi Yan, Anyi Wang et al.
LomonosovMSU at SemEval-2024 Task 4: Comparing LLMs and embedder models to identifying propaganda techniques in the content of memes in English for subtasks No1, No2a, and No2b
Gleb Skiba, Mikhail Pukemo, Dmitry Melikhov et al.
Long-form evaluation of model editing
Domenic Rosati, Robie Gonzales, Jinkun Chen et al.
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
Yifan Yang, Jiajun Zhou, Ngai Wong et al.
Lossless Acceleration of Large Language Model via Adaptive N-gram Parallel Decoding
Jie Ou, Yueming Chen, Prof. Tian
Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language Resamplers
Georgios Pantazopoulos, Alessandro Suglia, Oliver Lemon et al.
Lost in Transcription: Identifying and Quantifying the Accuracy Biases of Automatic Speech Recognition Systems Against Disfluent Speech
Dena Mujtaba, Nihar Mahapatra, Megan Arney et al.
Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts
Michael Saxon, Yiran Luo, Sharon Levy et al.
Low-code LLM: Graphical User Interface over Large Language Models
Yuzhe Cai, Shaoguang Mao, Wenshan Wu et al.
Low-Cost Generation and Evaluation of Dictionary Example Sentences
Bill Cai, Ng Clarence, Daniel Liang et al.