Papers
Can Abstract Meaning Representation Facilitate Fair Legal Judgement Predictions?
Supriti Vijay, Daniel Hershcovich
Can GPT4 Detect Euphemisms across Multiple Languages?
Todd Firsich, Anthony Rios
Can GPT-4 do L2 analytic assessment?
Stefano Bannò, Hari K. Vydana, Kate M. Knill et al.
Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey
Garima Agrawal, Tharindu Kumarage, Zeyad Alghamdi et al.
Can Language Model Moderators Improve the Health of Online Discourse?
Hyundong Cho, Shuai Liu, Taiwei Shi et al.
Can Language Models Guess Your Identity? Analyzing Demographic Biases in AI Essay Scoring
Alexander Kwako, Christopher Ormerod
Can Large Language Models (or Humans) Disentangle Text?
Nicolas Audinet de Pieuchon, Adel Daoud, Connor Jerzak et al.
Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain
Burcu Sayin, Pasquale Minervini, Jacopo Staiano et al.
Can LLM’s Generate Human-Like Wayfinding Instructions? Towards Platform-Agnostic Embodied Instruction Synthesis
Vishnu Sashank Dorbala, Sanjoy Chowdhury, Dinesh Manocha
Can LLMs Handle Low-Resource Dialects? A Case Study on Translation and Common Sense Reasoning in Šariš
Viktória Ondrejová, Marek Šuppa
Can probing classifiers reveal the learning by contact center large language models?: No, it doesn’t!
Varun Nathan, Ayush Kumar, Digvijay Ingle
Can Public Large Language Models Help Private Cross-device Federated Learning?
Boxin Wang, Yibo Zhang, Yuan Cao et al.
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks
Negar Mokhberian, Myrl Marmarelis, Frederic Hopp et al.
CARE: Extracting Experimental Findings From Clinical Literature
Aakanksha Naik, Bailey Kuehl, Erin Bransom et al.
CaresAI at SemEval-2024 Task 2: Improving Natural Language Inference in Clinical Trial Data using Model Ensemble and Data Explanation
Reem Abdel-salam, Mary Adewunmi, Mercy Akinwale
Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models
Yujin Kim, Jaehong Yoon, Seonghyeon Ye et al.
CASA: Causality-driven Argument Sufficiency Assessment
Xiao Liu, Yansong Feng, Kai-Wei Chang
Catch Me If You GPT: Tutorial on Deepfake Texts
Adaku Uchendu, Saranya Venkatraman, Thai Le et al.
Causal Inference for Human-Language Model Collaboration
Bohan Zhang, Yixin Wang, Paramveer Dhillon
CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization
Xiang Jiang, Markus Dreyer
CELI: Simple yet Effective Approach to Enhance Out-of-Domain Generalization of Cross-Encoders.
Crystina Zhang, Minghan Li, Jimmy Lin
CERET: Cost-Effective Extrinsic Refinement for Text Generation
Jason Cai, Hang Su, Monica Sunkara et al.
Challenges at SemEval 2024 Task 7: Contrastive Learning Approach on Numeral-Aware Language Generation
Ali Zhunis, Hao-yun Chuang
Characterizing Human and Zero-Shot GPT-3.5 Object-Similarity Judgments
D McKnight, Alona Fyshe
Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs
Victor Carbune, Hassan Mansoor, Fangyu Liu et al.