Papers
Pre-training CLIP against Data Poisoning with Optimal Transport-based Matching and Alignment
Tong Zhang, Kuofeng Gao, Jiawang Bai et al.
Pretraining Language Models with LoRA and Artificial Languages
Nalin Kumar, Mateusz Lango, Ondrej Dusek
PricingLogic: Evaluating LLMs Reasoning on Complex Tourism Pricing Tasks
Yunuo Liu, Dawei Zhu, Zena Al-Khalili et al.
PRIME: Large Language Model Personalization with Cognitive Dual-Memory and Personalized Thought Process
Xinliang Frederick Zhang, Nicholas Beauchamp, Lu Wang
PrimeX: A Dataset of Worldview, Opinion, and Explanation
Rik Koncel-Kedziorski, Brihi Joshi, Tim Paek
PRIM: Towards Practical In-Image Multilingual Machine Translation
Yanzhi Tian, Zeming Liu, Zhengyang Liu et al.
Primus: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM Training
Yao-Ching Yu, Tsun-Han Chiang, Cheng-Wei Tsai et al.
Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance
Pedro Henrique Luz de Araujo, Paul Röttger, Dirk Hovy et al.
PRINCIPLES: Synthetic Strategy Memory for Proactive Dialogue Agents
Namyoung Kim, Kai Tzu-iunn Ong, Yeonjun Hwang et al.
Priority on High-Quality: Selecting Instruction Data via Consistency Verification of Noise Injection
Hong Zhang, Feng Zhao, Ruilin Zhao et al.
Prior Prompt Engineering for Reinforcement Fine-Tuning
Pittawat Taveekitworachai, Potsawee Manakul, Sarana Nutanong et al.
PRISM: Efficient Long-Range Reasoning With Short-Context LLMs
Dulhan Jayalath, James Bradley Wendt, Nicholas Monath et al.
PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning
Mohammad Kachuee, Teja Gollapudi, Minseok Kim et al.
Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
Shouju Wang, Fenglin Yu, Xirui Liu et al.
PrivacyScalpel: Enhancing LLM Privacy via Interpretable Feature Intervention with Sparse Autoencoders
Ahmed Frikha, Muhammad Reza Ar Razi, Krishna Kanth Nakka et al.
Proactive Assistant Dialogue Generation from Streaming Egocentric Videos
Yichi Zhang, Xin Luna Dong, Zhaojiang Lin et al.
Proactive Hearing Assistants that Isolate Egocentric Conversations
Guilin Hu, Malek Itani, Tuochao Chen et al.
Proactive User Information Acquisition via Chats on User-Favored Topics
Shiki Sato, Jun Baba, Asahi Hentona et al.
Probabilistic Soundness Guarantees in LLM Reasoning Chains
Weiqiu You, Anton Xue, Shreya Havaldar et al.
Probing and Boosting Large Language Models Capabilities via Attention Heads
Dezhi Zhao, Xin Liu, Xiaocheng Feng et al.
Probing for Arithmetic Errors in Language Models
Yucheng Sun, Alessandro Stolfo, Mrinmaya Sachan
Probing Gender Bias in Multilingual LLMs: A Case Study of Stereotypes in Persian
Ghazal Kalhor, Behnam Bahrak
Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding
Yun-Shiuan Chuang, Sameer Narendran, Nikunj Harlalka et al.
Probing Logical Reasoning of MLLMs in Scientific Diagrams
Yufei Wang, Adriana Kovashka