Papers
Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models
Yue Zhou, Yada Zhu, Diego Antognini et al.
Paraphrase Identification via Textual Inference
Ning Shi, Bradley Hauer, Jai Riley et al.
PatentEval: Understanding Errors in Patent Generation
You Zuo, Kim Gerdes, Éric Clergerie et al.
Pauk at SemEval-2024 Task 4: A Neuro-Symbolic Method for Consistent Classification of Propaganda Techniques in Memes
Matt Pauk, Maria Leonor Pacheco
PDDLEGO: Iterative Planning in Textual Environments
Li Zhang, Peter Jansen, Tianyi Zhang et al.
Pedagogically Aligned Objectives Create Reliable Automatic Cloze Tests
Brian Ondov, Kush Attal, Dina Demner-Fushman
PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck
Thang Pham, Peijie Chen, Tin Nguyen et al.
PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization
Joseph Peper, Wenzhao Qiu, Lu Wang
PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models
HyunJin Kim, Young Jin Kim, JinYeong Bak
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning
Rui Wang, Tong Yu, Ruiyi Zhang et al.
Personalized Jargon Identification for Enhanced Interdisciplinary Communication
Yue Guo, Joseph Chee Chang, Maria Antoniak et al.
PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits
Hang Jiang, Xiajie Zhang, Xubo Cao et al.
PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations
Roman Kazakov, Kseniia Petukhova, Ekaterina Kochmar
PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text?
Kseniia Petukhova, Roman Kazakov, Ekaterina Kochmar
Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models
Kostiantyn Omelianchuk, Andrii Liubonko, Oleksandr Skurzhanskyi et al.
PILOT: Legal Case Outcome Prediction with Case Law
Lang Cao, Zifeng Wang, Cao Xiao et al.
PipeNet: Question Answering with Semantic Pruning over Knowledge Graphs
Ying Su, Jipeng Zhang, Yangqiu Song et al.
Planning and Editing What You Retrieve for Enhanced Tool Learning
Tenghao Huang, Dongwon Jung, Vaibhav Kumar et al.
PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers
Myeonghwa Lee, Seonho An, Min-Soo Kim
Plug-in Language Model: Controlling Text Generation with a Simple Regression Model
Nai-Chi Yang, Wei-Yun Ma, Pu-Jen Cheng
Pointer-Generator Networks for Low-Resource Machine Translation: Don’t Copy That!
Niyati Bafna, Philipp Koehn, David Yarowsky
Polarity Calibration for Opinion Summarization
Yuanyuan Lei, Kaiqiang Song, Sangwoo Cho et al.