Papers
PivotFEC: Enhancing Few-shot Factual Error Correction with a Pivot Task Approach using Large Language Models
Xingwei He, A-Long Jin, Jun Ma et al.
PK-ICR: Persona-Knowledge Interactive Multi-Context Retrieval for Grounded Dialogue
Minsik Oh, Joosung Lee, Jiwei Li et al.
Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts
Tengxiao Liu, Qipeng Guo, Yuqing Yang et al.
PlugMed: Improving Specificity in Patient-Centered Medical Dialogue Generation using In-Context Learning
Chengfeng Dou, Zhi Jin, Wenpin Jiao et al.
PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India
Ashok Urlana, Pinzhen Chen, Zheng Zhao et al.
POE: Process of Elimination for Multiple Choice Reasoning
Chenkai Ma, Xinya Du
Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs
Yatin Nandwani, Vineet Kumar, Dinesh Raghu et al.
Poisoning Retrieval Corpora by Injecting Adversarial Passages
Zexuan Zhong, Ziqing Huang, Alexander Wettig et al.
Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings
Mattia Atzeni, Mikhail Plekhanov, Frederic Dreyer et al.
Political dogwhistles and community divergence in semantic change
Max Boholm, Asad Sayeed
Polyglot or Not? Measuring Multilingual Encyclopedic Knowledge in Foundation Models
Tim Schott, Daniel Furman, Shreshta Bhat
POSQA: Probe the World Models of LLMs with Size Comparisons
Chang Shu, Jiuzhou Han, Fangyu Liu et al.
Post-hoc Utterance Refining Method by Entity Mining for Faithful Knowledge Grounded Conversations
Yoonna Jang, Suhyune Son, Jeongwoo Lee et al.
Post Turing: Mapping the landscape of LLM Evaluation
Alexey Tikhonov, Ivan P. Yamshchikov
Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions
Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber
Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models
Yiyuan Li, Rakesh Menon, Sayan Ghosh et al.
Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches
Daniel Fried, Nicholas Tomlin, Jennifer Hu et al.
PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter
Haoyan Yang, Zhitao Li, Yong Zhang et al.
Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration
Yiquan Wu, Siying Zhou, Yifei Liu et al.
Predict and Use: Harnessing Predicted Gaze to Improve Multimodal Sarcasm Detection
Divyank Tiwari, Diptesh Kanojia, Anupama Ray et al.
Predicting Question-Answering Performance of Large Language Models through Semantic Consistency
Ella Rabinovich, Samuel Ackerman, Orna Raz et al.
Predictive Chemistry Augmented with Text Retrieval
Yujie Qian, Zhening Li, Zhengkai Tu et al.
Predict the Future from the Past? On the Temporal Data Distribution Shift in Financial Sentiment Classifications
Yue Guo, Chenxi Hu, Yi Yang
Prefix-Tuning Based Unsupervised Text Style Transfer
Huiyu Mai, Wenhao Jiang, Zhi-Hong Deng