2025 Spotlight "large language models" Papers

14 papers found

A Implies B: Circuit Analysis in LLMs for Propositional Logical Reasoning

Guan Zhe Hong, Nishanth Dikkala, Enming Luo et al.

NeurIPS 2025spotlightarXiv:2411.04105
3
citations

Bits Leaked per Query: Information-Theoretic Bounds for Adversarial Attacks on LLMs

Masahiro Kaneko, Timothy Baldwin

NeurIPS 2025spotlightarXiv:2510.17000

Conditional Representation Learning for Customized Tasks

Honglin Liu, Chao Sun, Peng Hu et al.

NeurIPS 2025spotlightarXiv:2510.04564

ConTextTab: A Semantics-Aware Tabular In-Context Learner

Marco Spinaci, Marek Polewczyk, Maximilian Schambach et al.

NeurIPS 2025spotlightarXiv:2506.10707
7
citations

Cost-aware LLM-based Online Dataset Annotation

Eray Can Elumar, Cem Tekin, Osman Yagan

NeurIPS 2025spotlightarXiv:2505.15101
1
citations

DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models

Simone Carnemolla, Matteo Pennisi, Sarinda Samarasinghe et al.

NeurIPS 2025spotlightarXiv:2510.14741

DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm

Xiaowei Zhu, Yubing Ren, Fang Fang et al.

NeurIPS 2025spotlightarXiv:2509.15550

FFN Fusion: Rethinking Sequential Computation in Large Language Models

Akhiad Bercovich, Mohammed Dabbah, Omri Puny et al.

NeurIPS 2025spotlightarXiv:2503.18908
2
citations

FP4 All the Way: Fully Quantized Training of Large Language Models

Brian Chmiel, Maxim Fishman, Ron Banner et al.

NeurIPS 2025spotlight

LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models

Qianyue Hao, Yiwen Song, Qingmin Liao et al.

NeurIPS 2025spotlightarXiv:2505.15293
3
citations

Streaming Attention Approximation via Discrepancy Theory

Ekaterina Kochetkova, Kshiteej Jitesh Sheth, Insu Han et al.

NeurIPS 2025spotlightarXiv:2502.07861
2
citations

Uni-LoRA: One Vector is All You Need

Kaiyang Li, Shaobo Han, Qing Su et al.

NeurIPS 2025spotlightarXiv:2506.00799
2
citations

Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data

Zi Liang, Qingqing Ye, Xuan Liu et al.

NeurIPS 2025spotlight

Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search

Yuichi Inoue, Kou Misaki, Yuki Imajuku et al.

NeurIPS 2025spotlightarXiv:2503.04412
18
citations