"large language models" Papers
839 papers found • Page 17 of 17
Tandem Transformers for Inference Efficient LLMs
Aishwarya P S, Pranav Nair, Yashas Samaga et al.
TaskLAMA: Probing the Complex Task Understanding of Language Models
Quan Yuan, Mehran Kazemi, Xin Xu et al.
Task Planning for Object Rearrangement in Multi-Room Environments
Karan Mirakhor, Sourav Ghosh, Dipanjan Das et al.
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu et al.
TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering
Jingye Chen, Yupan Huang, Tengchao Lv et al.
Text-to-Image Generation for Abstract Concepts
Jiayi Liao, Xu Chen, Qiang Fu et al.
The Illusion of State in State-Space Models
William Merrill, Jackson Petty, Ashish Sabharwal
Thermometer: Towards Universal Calibration for Large Language Models
Maohao Shen, Subhro Das, Kristjan Greenewald et al.
tinyBenchmarks: evaluating LLMs with fewer examples
Felipe Maia Polo, Lucas Weber, Leshem Choshen et al.
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
Junhua Zeng, Chao Li, Zhun Sun et al.
To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO
Zi-Hao Qiu, Siqi Guo, Mao Xu et al.
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
George-Octavian Bărbulescu, Peter Triantafillou
Token-level Direct Preference Optimization
Yongcheng Zeng, Guoqing Liu, Weiyu Ma et al.
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models
Mingjia Huo, Sai Ashish Somayajula, Youwei Liang et al.
Toward Adaptive Reasoning in Large Language Models with Thought Rollback
Sijia Chen, Baochun Li
Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components
Zhiliang Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low
Trainable Transformer in Transformer
Abhishek Panigrahi, Sadhika Malladi, Mengzhou Xia et al.
Training-free Video Temporal Grounding using Large-scale Pre-trained Models
Minghang Zheng, Xinhao Cai, Qingchao Chen et al.
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
Zhiheng Xi, Wenxiang Chen, Boyang Hong et al.
TravelPlanner: A Benchmark for Real-World Planning with Language Agents
Jian Xie, Kai Zhang, Jiangjie Chen et al.
ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback
Ganqu Cui, Lifan Yuan, Ning Ding et al.
UMIE: Unified Multimodal Information Extraction with Instruction Tuning
Lin Sun, Kai Zhang, Qingyuan Li et al.
Understanding the Learning Dynamics of Alignment with Human Feedback
Shawn Im, Sharon Li
UniAudio: Towards Universal Audio Generation with Large Language Models
Dongchao Yang, Jinchuan Tian, Xu Tan et al.
UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models
Xiaoxi Li, Yujia Zhou, Zhicheng Dou
Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration
Zhongzhi Yu, Zheng Wang, Yonggan Fu et al.
Unveiling the Potential of AI for Nanomaterial Morphology Prediction
Ivan Dubrovsky, Andrei Dmitrenko, Aleksey Dmitrenko et al.
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai et al.
Vamos: Versatile Action Models for Video Understanding
Shijie Wang, Qi Zhao, Minh Quan et al.
Variational Learning is Effective for Large Deep Networks
Yuesong Shen, Nico Daheim, Bai Cong et al.
Video Question Answering with Procedural Programs
Rohan Choudhury, Koichiro Niinuma, Kris Kitani et al.
Watermark Stealing in Large Language Models
Nikola Jovanović, Robin Staab, Martin Vechev
When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
Haoran You, Yichao Fu, Zheng Wang et al.
Working Memory Capacity of ChatGPT: An Empirical Study
Dongyu Gong, Xingchen Wan, Dingmin Wang
X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-modal Reasoning
Artemis Panagopoulou, Le Xue, Ning Yu et al.
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
che liu, Zhongwei Wan, Cheng Ouyang et al.
Zero-shot Text-guided Infinite Image Synthesis with LLM guidance
Soyeong Kwon, TAEGYEONG LEE, Taehwan Kim
Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-World Multi-Turn Dialogue
Songhua Yang, Hanjie Zhao, Senbin Zhu et al.
ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-Order Optimization
Shuoran Jiang, Qingcai Chen, Yang Xiang et al.