Papers
2,781 papers found
Joint Prompt Optimization of Stacked LLMs using Variational Inference
Alessandro Sordoni, Eric Yuan, Marc-Alexandre Côté et al.
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations
Lifan Yuan, Yangyi Chen, Ganqu Cui et al.
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
Xuan Zhang, Chao Du, Tianyu Pang et al.
Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives
Vincent Hanke, Tom Blanchard, Franziska Boenisch et al.
Efficient Adversarial Training in LLMs with Continuous Attacks
Sophie Xhonneux, Alessandro Sordoni, Stephan Günnemann et al.
SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization
Wanhua Li, Zibin Meng, Jiawei Zhou et al.
QBB: Quantization with Binary Bases for LLMs
Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos
Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers
Xiuying Wei, Skander Moalla, Razvan Pascanu et al.
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
Duo Wang, Yuan Zuo, Fengzhi Li et al.
WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs
Seungju Han, Kavel Rao, Allyson Ettinger et al.
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
Alexander Nikitin, Jannik Kossen, Yarin Gal et al.
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
Leo Schwinn, David Dobre, Sophie Xhonneux et al.
PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations
Jiatong Li, Renjun Hu, Kunzhe Huang et al.
Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting
Fangcheng Liu, Yehui Tang, Zhenhua Liu et al.
UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels
Jake Silberg, Kyle Swanson, Elana Simon et al.
Alignment at Pre-training! Towards Native Alignment for Arabic LLMs
Juhao Liang, Zhenyang Cai, Jianqing Zhu et al.
Benchmarking LLMs via Uncertainty Quantification
Fanghua Ye, Mingming Yang, Jianhui Pang et al.
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control
Yuxin Xiao, Chaoqun Wan, Yonggang Zhang et al.
Ad Auctions for LLMs via Retrieval Augmented Generation
MohammadTaghi Hajiaghayi, Sébastien Lahaie, Keivan Rezaei et al.
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke et al.
Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios
Nicolás Astorga, Tennison Liu, Nabeel Seedat et al.
Efficient multi-prompt evaluation of LLMs
Felipe Maia Polo, Ronald Xu, Lucas Weber et al.
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
Abhimanyu Hans, Yuxin Wen, Neel Jain et al.
SIRIUS : Contexual Sparisty with Correction for Efficient LLMs
Yang Zhou, Zhuoming Chen, Zhaozhuo Xu et al.
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs
Zhiyuan Hu, Chumin Liu, Xidong Feng et al.