Title
Kosmos-G: Generating Images in Context with Multimodal Large Language Models Xichen Pan Li Dong Shaohan Huang Zhiliang Peng Wenhu Chen Furu Wei VLM 152 68 0 04 Oct 2023
Prompting and Adapter Tuning for Self-supervised Encoder-Decoder Speech Model Kai-Wei Chang Ming-Hsin Chen Yun-Ping Lin Jing Neng Hsu Paul Kuo-Ming Huang Chien-yu Huang Shang-Wen Li Hung-yi Lee 100 6 0 04 Oct 2023
Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models Yiwen Tang Ivan Tang Ray Gu Dong Wang Eric Zhang Bin Zhao Xuelong Li 3DPC 135 22 0 04 Oct 2023
JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning Chang Gao Wenxuan Zhang Guizhen Chen Wai Lam 224 6 0 04 Oct 2023
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation Chen Dun Mirian Hipolito Garcia Guoqing Zheng Ahmed Hassan Awadallah Anastasios Kyrillidis Robert Sim 212 6 0 04 Oct 2023
AdaMerging: Adaptive Model Merging for Multi-Task Learning Enneng Yang Zhenyi Wang Li Shen Shiwei Liu Guibing Guo Xingwei Wang Dacheng Tao MoMe 124 125 0 04 Oct 2023
CITING: Large Language Models Create Curriculum for Instruction Tuning Tao Feng Zifeng Wang Jimeng Sun ALM 89 15 0 04 Oct 2023
ResidualTransformer: Residual Low-Rank Learning with Weight-Sharing for Transformer Layers Yiming Wang Jinyu Li 57 6 0 03 Oct 2023
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models Yingqian Cui Jie Ren Yuping Lin Han Xu Pengfei He Yue Xing Lingjuan Lyu Wenqi Fan Hui Liu Jiliang Tang WIGM 106 12 0 03 Oct 2023
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation Benjamin Steenhoek Michele Tufano Neel Sundaresan Alexey Svyatkovskiy OffRL ALM 148 22 0 03 Oct 2023
MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens Kaizhi Zheng Xuehai He Xin Eric Wang MLLM 137 99 0 03 Oct 2023
OceanGPT: A Large Language Model for Ocean Science Tasks Zhen Bi Ningyu Zhang Yida Xue Yixin Ou Daxiong Ji Guozhou Zheng Huajun Chen ALM LLMAG 122 33 0 03 Oct 2023
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving Long Chen Oleg Sinavski Jan Hünermann Alice Karnsund Andrew James Willmott Danny Birch Daniel Maund Jamie Shotton MLLM 127 210 0 03 Oct 2023
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval Qi Yan Raihan Seraj Jiawei He Li Meng Tristan Sylvain 78 11 0 03 Oct 2023
LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment Bin Zhu Bin Lin Munan Ning Yang Yan Jiaxi Cui ... Zongwei Li Wancai Zhang Zhifeng Li Wei Liu Liejie Yuan VLM MLLM 185 229 0 03 Oct 2023
Benchmarking and Improving Generator-Validator Consistency of Language Models Xiang Lisa Li Vaishnavi Shrivastava Siyan Li Tatsunori Hashimoto Percy Liang 85 31 0 03 Oct 2023
Selective Feature Adapter for Dense Vision Transformers XueQing Deng Qi Fan Xiaojie Jin Linjie Yang Peng Wang 61 0 0 03 Oct 2023
AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework Xilie Xu Jingfeng Zhang Mohan Kankanhalli AAML 70 10 0 03 Oct 2023
HPC-GPT: Integrating Large Language Model for High-Performance Computing Xianzhong Ding Le Chen M. Emani Chunhua Liao Pei-Hung Lin T. Vanderbruggen Zhen Xie Alberto Cerpa Wan Du LM&MA AI4MH 83 29 0 03 Oct 2023
ImagenHub: Standardizing the evaluation of conditional image generation models Max Ku Tianle Li Kai Zhang Yujie Lu Xingyu Fu Wenwen Zhuang Wenhu Chen EGVM 132 48 0 02 Oct 2023
Compressing LLMs: The Truth is Rarely Pure and Never Simple Ajay Jaiswal Zhe Gan Xianzhi Du Bowen Zhang Zhangyang Wang Yinfei Yang MQ 128 50 0 02 Oct 2023
GenSim: Generating Robotic Simulation Tasks via Large Language Models Lirui Wang Yiyang Ling Zhecheng Yuan Mohit Shridhar Chen Bao Yuzhe Qin Bailin Wang Huazhe Xu Xiaolong Wang LM&Ro 125 84 0 02 Oct 2023
LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples Jia-Yu Yao Kun-Peng Ning Zhen-Hui Liu Munan Ning Li Yuan HILM LRM AAML 94 194 0 02 Oct 2023
BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models Qingqing Cao Sewon Min Yizhong Wang Hannaneh Hajishirzi MQ RALM 81 4 0 02 Oct 2023
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models Jingwei Sun Ziyue Xu Hongxu Yin Dong Yang Daguang Xu Yiran Chen Holger R. Roth VLM 144 26 0 02 Oct 2023
ZeroI2V: Zero-Cost Adaptation of Pre-trained Transformers from Image to Video Xinhao Li Yuhan Zhu Limin Wang VLM 102 9 0 02 Oct 2023
Improving Emotional Expression and Cohesion in Image-Based Playlist Description and Music Topics: A Continuous Parameterization Approach Yuelyu Ji Yuheng Song Wei Wang Ruoyi Xu Zhongqian Xie Huiyun Liu DiffM 66 1 0 02 Oct 2023
Making LLaMA SEE and Draw with SEED Tokenizer Yuying Ge Sijie Zhao Ziyun Zeng Yixiao Ge Chen Li Xintao Wang Ying Shan 80 137 0 02 Oct 2023
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale Markus Frohmann Carolin Holtermann Shahed Masoudian Anne Lauscher Navid Rekabsaz 94 2 0 02 Oct 2023
Label Supervised LLaMA Finetuning Zongxi Li Xianming Li Yuzhang Liu Haoran Xie Jing Li F. Wang Qing Li Xiaoqin Zhong ALM 62 23 0 02 Oct 2023
Automated Evaluation of Classroom Instructional Support with LLMs and BoWs: Connecting Global Predictions to Specific Feedback Jacob Whitehill Jennifer LoCasale-Crouch 49 9 0 02 Oct 2023
GraphText: Graph Reasoning in Text Space Jianan Zhao Le Zhuo Yikang Shen Meng Qu Kai Liu Michael M. Bronstein Zhaocheng Zhu Jian Tang 192 80 0 02 Oct 2023
Tool-Augmented Reward Modeling Lei Li Yekun Chai Shuohuan Wang Yu Sun Hao Tian Ningyu Zhang Hua Wu OffRL 111 14 0 02 Oct 2023
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models Yongchan Kwon Eric Wu K. Wu James Zou DiffM TDI 96 68 0 02 Oct 2023
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? Atsuyuki Miyai Qing Yu Go Irie Kiyoharu Aizawa OODD 208 6 0 02 Oct 2023
Parameter-Efficient Tuning Helps Language Model Alignment Tianci Xue Ziqi Wang Heng Ji ALM 67 7 0 01 Oct 2023
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models Zekun Wang Zhongyuan Peng Haoran Que Jiaheng Liu Wangchunshu Zhou ... Wanli Ouyang Ke Xu Wenhu Chen Jie Fu Junran Peng LLMAG 121 96 0 01 Oct 2023
PETA: Parameter-Efficient Trojan Attacks Lauren Hong Ting Wang AAML 88 1 0 01 Oct 2023
Adapting LLM Agents with Universal Feedback in Communication Kuan-Chieh Wang Yadong Lu Michael Santacroce Yeyun Gong Chao Zhang Yelong Shen LLMAG 84 9 0 01 Oct 2023
Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs Shiyu Xuan Qingpei Guo Ming Yang Shiliang Zhang MLLM ObjD 81 40 0 01 Oct 2023
Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models Duanyu Feng Yongfu Dai Jimin Huang Yifang Zhang Qianqian Xie Weiguang Han Zhengyu Chen Alejandro Lopez-Lira Hao Wang 94 12 0 01 Oct 2023
PixArt- $α$ : Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Junsong Chen Jincheng Yu Chongjian Ge Lewei Yao Enze Xie ... Zhongdao Wang James T. Kwok Ping Luo Huchuan Lu Zhenguo Li DiffM 117 461 0 30 Sep 2023
AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ Jonas Belouadi Anne Lauscher Steffen Eger 75 31 0 30 Sep 2023
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning Sixing Yu J. P. Muñoz Ali Jannesari AI4CE 124 8 0 30 Sep 2023
AdaptNet: Policy Adaptation for Physics-Based Character Control Pei Xu Kaixiang Xie Sheldon Andrews P. Kry Michael Neff Morgan McGuire Ioannis Karamouzas Victor Zordan TTA 119 19 0 30 Sep 2023
SLM: Bridge the thin gap between speech and text foundation models Mingqiu Wang Wei Han Izhak Shafran Zelin Wu Chung-Cheng Chiu ... Zhong Meng Golan Pundak Nikhil Siddhartha J. Schalkwyk Yonghui Wu AuLLM 117 58 0 30 Sep 2023
Self-Specialization: Uncovering Latent Expertise within Large Language Models Junmo Kang Hongyin Luo Yada Zhu Jacob A. Hansen James R. Glass David D. Cox Alan Ritter Rogerio Feris Leonid Karlinsky ALM MoMe 100 4 0 29 Sep 2023
LLM-grounded Video Diffusion Models Long Lian Baifeng Shi Semih Yavuz Ye Liu Boyi Li DiffM 103 55 0 29 Sep 2023
Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives Elizabeth Seger Noemi Dreksler Richard Moulange Emily Dardaman Jonas Schuett ... Emma Bluemke Michael Aird Patrick Levermore Julian Hazell Abhishek Gupta 74 43 0 29 Sep 2023
Directly Fine-Tuning Diffusion Models on Differentiable Rewards Amita Gajewar Paul Vicol G. Bansal David J Fleet 110 177 0 29 Sep 2023