Papers
5,479 papers found
Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data
Yiwei Li, Peiwen Yuan, Shaoxiong Feng et al.
VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View
Raphael Schumann, Wanrong Zhu, Weixi Feng et al.
OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning
Ziyu Shang, Wenjun Ke, Nana Xiu et al.
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
Xuan Shen, Peiyan Dong, Lei Lu et al.
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
Yan Wang, Zhixuan Chu, Xin Ouyang et al.
ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context
Chenxiao Wu, Wenjun Ke, Peng Wang et al.
Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation
Zhewei Yao, Xiaoxia Wu, Cheng Li et al.
LLMEval: A Preliminary Study on How to Evaluate Large Language Models
Yue Zhang, Ming Zhang, Haipeng Yuan et al.
ExpeL: LLM Agents Are Experiential Learners
Andrew Zhao, Daniel Huang, Quentin Xu et al.
Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning
Turgay Caglar, Sirine Belhaj, Tathagata Chakraborty et al.
Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention
Zhen Tan, Tianlong Chen, Zhenyu Zhang et al.
CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare
Akash Ghosh, Arkadeep Acharya, Raghav Jain et al.
CyberQ: Generating Questions and Answers for Cybersecurity Education Using Knowledge Graph-Augmented LLMs
Garima Agrawal, Kuntal Pal, Yuli Deng et al.
A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students’ Formative Assessment Responses in Science
Clayton Cohn, Nicole Hutchins, Tuan Le et al.
Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy
Lin Ni, Sijie Wang, Zeyu Zhang et al.
Finetuning LLMs for Automatic Concept to TTI Prompt Generation (Student Abstract)
Jeremy Rutter, Maneesh Reddy Chamakura, Justin Delgado et al.
SCALM: Detecting Bad Practices in Smart Contracts Through LLMs
Zongwei Li, Xiaoqi Li, Wenkai Li et al.
Controllable Protein Sequence Generation with LLM Preference Optimization
Xiangyu Liu, Yi Liu, Silei Chen et al.
Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference
Jiangou Zhan, Wenhui Zhang, Zheng Zhang et al.
From Words to Worth: Newborn Article Impact Prediction with LLM
Penghai Zhao, Qinghua Xing, Kairan Dou et al.
ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind
Kazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida et al.
PoseLLaVA: Pose Centric Multimodal LLM for Fine-Grained 3D Pose Manipulation
Dong Feng, Ping Guo, Encheng Peng et al.