Papers
LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?
Yuchi Wang, Shuhuai Ren, Rundong Gao et al.
LAILab at Chemotimelines 2024: Finetuning sequence-to-sequence language models for temporal relation extraction towards cancer patient undergoing chemotherapy treatment
Shohreh Haddadan, Tuan-Dung Le, Thanh Duong et al.
LangNav: Language as a Perceptual Representation for Navigation
Bowen Pan, Rameswar Panda, SouYoung Jin et al.
Language Agnostic Code Embeddings
Saiteja Utpala, Alex Gu, Pin-Yu Chen
LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows
Shujian Zhang, Lemeng Wu, Chengyue Gong et al.
Language Identification of Philippine Creole Spanish: Discriminating Chavacano From Related Languages
Aileen Joan Vicente, Charibeth Cheng
Language-Independent Representations Improve Zero-Shot Summarization
Vladimir Solovyev, Danni Liu, Jan Niehues
Language Model Based Unsupervised Dependency Parsing with Conditional Mutual Information and Grammatical Constraints
Junjie Chen, Xiangheng He, Yusuke Miyao
Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain
Brian Hu, Bill Ray, Alice Leung et al.
Language Models can be Deductive Solvers
Jiazhan Feng, Ruochen Xu, Junheng Hao et al.
Language Models Hallucinate, but May Excel at Fact Verification
Jian Guan, Jesse Dodge, David Wadden et al.
Language Models Implement Simple Word2Vec-style Vector Arithmetic
Jack Merullo, Carsten Eickhoff, Ellie Pavlick
Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion
Smriti Singh, Cornelia Caragea, Junyi Jessy Li
Large Human Language Models: A Need and the Challenges
Nikita Soni, H. Andrew Schwartz, João Sedoc et al.
Large Language Model-based Pipeline for Item Difficulty and Response Time Estimation for Educational Assessments
Hariram Veeramani, Surendrabikram Thapa, Natarajan Balaji Shankar et al.
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
Zhen Qin, Rolf Jagerman, Kai Hui et al.
Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction
Masamune Kobayashi, Masato Mita, Mamoru Komachi
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning
Huiming Wang, Zhaodonghui Li, Liying Cheng et al.
Large Language Models Encode the Practice of Medicine
Teja Kanchinadam, Gauher Shaheen
Large Language Models Help Humans Verify Truthfulness – Except When They Are Convincingly Wrong
Chenglei Si, Navita Goyal, Tongshuang Wu et al.
Large Language Models Provide Human-Level Medical Text Snippet Labeling
Ibtihel Amara, Haiyang Yu, Fan Zhang et al.
Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions
Pouya Pezeshkpour, Estevam Hruschka
LastResort at SemEval-2024 Task 3: Exploring Multimodal Emotion Cause Pair Extraction as Sequence Labelling Task
Suyash Vardhan Mathur, Akshett Jindal, Hardik Mittal et al.
LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud
Mengke Zhang, Tianxing He, Tianle Wang et al.
Laying Anchors: Semantically Priming Numerals in Language Modeling
Mandar Sharma, Rutuja Taware, Pravesh Koirala et al.