Papers
5,479 papers found
Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming
Nanxu Gong, Xinyuan Wang, Wangyang Ying et al.
TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories
Zeyu Zhou, Yan Lin, Haomin Wen et al.
LLM4VKG: Leveraging Large Language Models for Virtual Knowledge Graph Construction
Guohui Xiao, Lin Ren, Guilin Qi et al.
Not All Layers of LLMs Are Necessary During Inference
Siqi Fan, Xin Jiang, Xiang Li et al.
Expanding the Category of Classifiers with LLM Supervision
Derui Lyu, Xiangyu Wang, Taiyu Ban et al.
Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning
Ruxue Shi, Hengrui Gu, Hangting Ye et al.
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations
Zunhai Su, Hanyu Wei, Zhe Chen et al.
Dynamic and Adaptive Feature Generation with LLM
Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar et al.
LPDetective: Dusting the LLM Chats for Prompt Template Abusers
Yang Luo, Qingni Shen, Zhonghai Wu
Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning
Hang Gao, Chenhao Zhang, Tie Wang et al.
Efficient Dynamic Ensembling for Multiple LLM Experts
Jinwu Hu, Yufeng Wang, Shuhai Zhang et al.
MPPQ: Enhancing Post-Training Quantization for LLMs via Mixed Supervision, Proxy Rounding, and Pre-Searching
Mingrun Wei, Yeyu Yan, Dong Wang
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning
Jia Zhang, Chen-Xi Zhang, Yao Liu et al.
EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness
Yunxiao Zhang, Guanming Xiong, Haochen Li et al.
EAVIT: Efficient and Accurate Human Value Identification From Text Data via LLMs
Wenhao Zhu, Yuhang Xie, Guojie Song et al.
Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference Latency
Ruixiao Li, Fahao Chen, Peng Li
DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries
Muhammad Sakib Khan Inan, Kewen Liao
The Graph’s Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation
Reza Moravej, Saurabh Bodhe, Zhanguang Zhang et al.
AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contracts
Maruf Ahmed Mridul, Ian Sloyan, Aparna Gupta et al.
Towards the Terminator Economy: Assessing Job Exposure to AI Through LLMs
Emilio Colombo, Fabio Mercorio, Mario Mezzanzanica et al.
Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs
Ziyu Ge, Yuhao Wu, Daniel Wai Kit Chin et al.
Automating Intervention Discovery from Scientific Literature: A Progressive Ontology Prompting and Dual-LLM Framework
Yuting Hu, Dancheng Liu, Qingyun Wang et al.
REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLMs
Madhur Jindal, Saurabh Deshpande
What is Behind Homelessness Bias? Using LLMs and NLP to Mitigate Homelessness by Acting on Social Stigma
Jonathan A. Karr Jr., Emory Smith, Matthew Hauenstein et al.