Papers
Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back
Konstantin Kobs, Jan Pfister, Andreas Hotho
PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics
Derui Zhu, Dingfan Chen, Qing Li et al.
POLYIE: A Dataset of Information Extraction from Polymer Material Scientific Literature
Jerry Cheung, Yuchen Zhuang, Yinghao Li et al.
Polysemy through the lens of psycholinguistic variables: a dataset and an evaluation of static and contextualized language models
Andrea Bruera, Farbod Zamani, Massimo Poesio
Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges
Abhilasha Sancheti, Koustava Goswami, Balaji Srinivasan
Predicting Initial Essay Quality Scores to Increase the Efficiency of Comparative Judgment Assessments
Michiel De Vrindt, Anaïs Tack, Renske Bouwer et al.
Predicting Item Difficulty and Item Response Time with Scalar-mixed Transformer Encoder Models and Rational Network Regression Heads
Sebastian Gombert, Lukas Menzel, Daniele Di Mitri et al.
Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering
Neha Srikanth, Rupak Sarkar, Heran Mane et al.
Pre-trained Language Models for Entity Blocking: A Reproducibility Study
Runhui Wang, Yongfeng Zhang
Principles from Clinical Research for NLP Model Generalization
Aparna Elangovan, Jiayuan He, Yuan Li et al.
ProbGate at EHRSQL 2024: Enhancing SQL Query Generation Accuracy through Probabilistic Threshold Filtering and Error Handling
Sangryul Kim, Donghee Han, Sehyun Kim
Probing the Category of Verbal Aspect in Transformer Language Models
Anisia Katinskaia, Roman Yangarber
PRODIGy: a PROfile-based DIalogue Generation dataset
Daniela Occhipinti, Serra Sinem Tekiroğlu, Marco Guerini
Product Description and QA Assisted Self-Supervised Opinion Summarization
Tejpalsingh Siledar, Rupasai Rangaraju, Sankara Muddu et al.
Program-Aided Reasoners (Better) Know What They Know
Anubha Kabra, Sanketh Rangreji, Yash Mathur et al.
Project PRIMUS at EHRSQL 2024 : Text-to-SQL Generation using Large Language Model for EHR Analysis
Sourav Joy, Rohan Ahmed, Argha Saha et al.
PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning
Tianrong Zhang, Zhaohan Xi, Ting Wang et al.
Prompting Few-shot Multi-hop Question Generation via Comprehending Type-aware Semantics
Zefeng Lin, Weidong Chen, Yan Song et al.
Prompting Vision-Language Models For Aspect-Controlled Generation of Referring Expressions
Danfeng Guo, Sanchit Agarwal, Arpit Gupta et al.
Promptly Predicting Structures: The Return of Inference
Maitrey Mehta, Valentina Pyatkin, Vivek Srikumar
PromptMind Team at EHRSQL-2024: Improving Reliability of SQL Generation using Ensemble LLMs
Satya Gundabathula, Sriram Kolar
PromptMind Team at MEDIQA-CORR 2024: Improving Clinical Text Correction with Error Categorization and LLM Ensembles
Satya Gundabathula, Sriram Kolar
Prompt-Singer: Controllable Singing-Voice-Synthesis with Natural Language Prompt
Yongqi Wang, Ruofan Hu, Rongjie Huang et al.
Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models
Fobo Shi, Peijun Qing, Dong Yang et al.
Prompt Tuned Embedding Classification for Industry Sector Allocation
Valentin Buchner, Lele Cao, Jan-Christoph Kalo et al.