Dahua Lin

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 442

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Chonghua Wang, Haodong Duan, Songyang Zhang, Dahua Lin, Kai Chen
Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks. NAACL-HLT (2024)
Xinyuan Chen, Yaohui Wang, Lingjun Zhang, Shaobin Zhuang, Xin Ma, Jiashuo Yu, Yali Wang, Dahua Lin, Yu Qiao, Ziwei Liu
SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction. ICLR (2024)
Chonghua Wang, Haodong Duan, Songyang Zhang, Dahua Lin, Kai Chen
Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks. CoRR (2024)
Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Xipeng Qiu, Dahua Lin
Identifying Semantic Induction Heads to Understand In-Context Learning. CoRR (2024)
Zehui Chen, Kuikun Liu, Qiuchen Wang, Wenwei Zhang, Jiangning Liu, Dahua Lin, Kai Chen, Feng Zhao
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models. CoRR (2024)
Jiangfei Duan, Shuo Zhang, Zerui Wang, Lijuan Jiang, Wenwen Qu, Qinghao Hu, Guoteng Wang, Qizhen Weng, Hang Yan, Xingcheng Zhang, Xipeng Qiu, Dahua Lin, Yonggang Wen, Xin Jin, Tianwei Zhang, Peng Sun
Efficient Training of Large Language Models on Distributed Infrastructures: A Survey. CoRR (2024)
Ziwei Ji, Yuzhe Gu, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen
ANAH: Analytical Annotation of Hallucinations in Large Language Models. ACL (1) (2024)
Tian Lan, Wenwei Zhang, Chen Xu, Heyan Huang, Dahua Lin, Kai Chen, Xianling Mao
CriticBench: Evaluating Large Language Models as Critic. CoRR (2024)
Lijun Li, Bowen Dong, Ruohui Wang, Xuhao Hu, Wangmeng Zuo, Dahua Lin, Yu Qiao, Jing Shao
SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models. ACL (Findings) (2024)
Ying Jin, Jiaqi Wang, Dahua Lin
SepRep-Net: Multi-source Free Domain Adaptation via Model Separation And Reparameterization. CoRR (2024)
Bin Wang, Linke Ouyang, Fan Wu, Wenchang Ning, Xiao Han, Zhiyuan Zhao, Jiahui Peng, Yiying Jiang, Dahua Lin, Conghui He
DSDL: Data Set Description Language for Bridging Modalities and Tasks in AI Data. CoRR (2024)
Ziyu Liu, Tao Chu, Yuhang Zang, Xilin Wei, Xiaoyi Dong, Pan Zhang, Zijian Liang, Yuanjun Xiong, Yu Qiao, Dahua Lin, Jiaqi Wang
MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs. CoRR (2024)
Lin Chen, Xilin Wei, Jinsong Li, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Zehui Chen, Haodong Duan, Bin Lin, Zhenyu Tang, Li Yuan, Yu Qiao, Dahua Lin, Feng Zhao, Jiaqi Wang
ShareGPT4Video: Improving Video Understanding and Generation with Better Captions. CoRR (2024)
Jingwen He, Tianfan Xue, Dongyang Liu, Xinqi Lin, Peng Gao, Dahua Lin, Yu Qiao, Wanli Ouyang, Ziwei Liu
VEnhancer: Generative Space-Time Enhancement for Video Generation. CoRR (2024)
Xiaoran Liu, Hang Yan, Chenxin An, Xipeng Qiu, Dahua Lin
Scaling Laws of RoPE-based Extrapolation. ICLR (2024)
Fan Cui, Chenyang Yin, Kexing Zhou, Youwei Xiao, Guangyu Sun, Qiang Xu, Qipeng Guo, Demin Song, Dahua Lin, Xingcheng Zhang, Yun Liang
OriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection. CoRR (2024)
Yuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, Bo Dai
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning. ICLR (2024)
Jiahe Chen, Jinkun Cao, Dahua Lin, Kris Kitani, Jiangmiao Pang
Mixed Gaussian Flow for Diverse Trajectory Prediction. CoRR (2024)
Rui Qian, Shuangrui Ding, Dahua Lin
Rethinking Image-to-Video Adaptation: An Object-centric Perspective. CoRR (2024)
Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Bin Wang, Linke Ouyang, Xilin Wei, Songyang Zhang, Haodong Duan, Maosong Cao, Wenwei Zhang, Yining Li, Hang Yan, Yang Gao, Xinyue Zhang, Wei Li, Jingwen Li, Kai Chen, Conghui He, Xingcheng Zhang, Yu Qiao, Dahua Lin, Jiaqi Wang
InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model. CoRR (2024)
Chenyu Shi, Xiao Wang, Qiming Ge, Songyang Gao, Xianjun Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Xun Zhao, Dahua Lin
Navigating the OverKill in Large Language Models. ACL (1) (2024)
Zehui Chen, Kuikun Liu, Qiuchen Wang, Wenwei Zhang, Jiangning Liu, Dahua Lin, Kai Chen, Feng Zhao
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models. ACL (Findings) (2024)
Rui Qian, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Shuangrui Ding, Dahua Lin, Jiaqi Wang
Streaming Long Video Understanding with Large Language Models. CoRR (2024)
Yuhang Cao, Pan Zhang, Xiaoyi Dong, Dahua Lin, Jiaqi Wang
DualFocus: Integrating Macro and Micro Perspectives in Multi-modal Large Language Models. CoRR (2024)
Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Quanshi Zhang, Xipeng Qiu, Dahua Lin
Identifying Semantic Induction Heads to Understand In-Context Learning. ACL (Findings) (2024)
Tong Wu, Guandao Yang, Zhibing Li, Kai Zhang, Ziwei Liu, Leonidas J. Guibas, Dahua Lin, Gordon Wetzstein
GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation. CoRR (2024)
Lin Chen, Jinsong Li, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Zehui Chen, Haodong Duan, Jiaqi Wang, Yu Qiao, Dahua Lin, Feng Zhao
Are We on the Right Way for Evaluating Large Vision-Language Models? CoRR (2024)
Zeqi Xiao, Tai Wang, Jingbo Wang, Jinkun Cao, Wenwei Zhang, Bo Dai, Dahua Lin, Jiangmiao Pang
Unified Human-Scene Interaction via Prompted Chain-of-Contacts. ICLR (2024)
Zhiyuan Zeng, Qipeng Guo, Zhaoye Fei, Zhangyue Yin, Yunhua Zhou, Linyang Li, Tianxiang Sun, Hang Yan, Dahua Lin, Xipeng Qiu
Turn Waste into Worth: Rectifying Top-k Router of MoE. CoRR (2024)
Yunfan Shao, Linyang Li, Zhaoye Fei, Hang Yan, Dahua Lin, Xipeng Qiu
Balanced Data Sampling for Language Model Training with Clustering. CoRR (2024)
Zhenzhi Wang, Yixuan Li, Yanhong Zeng, Youqing Fang, Yuwei Guo, Wenran Liu, Jing Tan, Kai Chen, Tianfan Xue, Bo Dai, Dahua Lin
HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation. CoRR (2024)
Zhe Chen, Weiyun Wang, Hao Tian, Shenglong Ye, Zhangwei Gao, Erfei Cui, Wenwen Tong, Kongzhi Hu, Jiapeng Luo, Zheng Ma, Ji Ma, Jiaqi Wang, Xiaoyi Dong, Hang Yan, Hewei Guo, Conghui He, Botian Shi, Zhenjiang Jin, Chao Xu, Bin Wang, Xingjian Wei, Wei Li, Wenjian Zhang, Bo Zhang, Pinlong Cai, Licheng Wen, Xiangchao Yan, Min Dou, Lewei Lu, Xizhou Zhu, Tong Lu, Dahua Lin, Yu Qiao, Jifeng Dai, Wenhai Wang
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites. CoRR (2024)
Fangzhou Hong, Jiaxiang Tang, Ziang Cao, Min Shi, Tong Wu, Zhaoxi Chen, Tengfei Wang, Liang Pan, Dahua Lin, Ziwei Liu
3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors. CoRR (2024)
Xupeng Miao, Chunan Shi, Jiangfei Duan, Xiaoli Xi, Dahua Lin, Bin Cui, Zhihao Jia
SpotServe: Serving Generative Large Language Models on Preemptible Instances. ASPLOS (2) (2024)
Demin Song, Honglin Guo, Yunhua Zhou, Shuhao Xing, Yudong Wang, Zifan Song, Wenwei Zhang, Qipeng Guo, Hang Yan, Xipeng Qiu, Dahua Lin
Code Needs Comments: Enhancing Code LLMs with Comment Augmentation. ACL (Findings) (2024)
Wei Li, Ren Ma, Jiang Wu, Chenya Gu, Jiahui Peng, Jinyang Len, Songyang Zhang, Hang Yan, Dahua Lin, Conghui He
FoundaBench: Evaluating Chinese Fundamental Knowledge Capabilities of Large Language Models. CoRR (2024)
Xian Liu, Jian Ren, Aliaksandr Siarohin, Ivan Skorokhodov, Yanyu Li, Dahua Lin, Xihui Liu, Ziwei Liu, Sergey Tulyakov
HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion. ICLR (2024)
Songyang Zhang, Chuyu Zhang, Yingfan Hu, Haowen Shen, Kuikun Liu, Zerun Ma, Fengzhe Zhou, Wenwei Zhang, Xuming He, Dahua Lin, Kai Chen
CIBench: Evaluating Your LLMs with a Code Interpreter Plugin. CoRR (2024)
Xiao Fu, Wei Yin, Mu Hu, Kaixuan Wang, Yuexin Ma, Ping Tan, Shaojie Shen, Dahua Lin, Xiaoxiao Long
GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image. CoRR (2024)
Ying Jin, Pengyang Ling, Xiaoyi Dong, Pan Zhang, Jiaqi Wang, Dahua Lin
ReasonPix2Pix: Instruction Reasoning Dataset for Advanced Image Editing. CoRR (2024)
Yikun Wang, Rui Zheng, Liang Ding, Qi Zhang, Dahua Lin, Dacheng Tao
Uncertainty Aware Learning for Language Model Alignment. CoRR (2024)
Zifan Song, Yudong Wang, Wenwei Zhang, Kuikun Liu, Chengqi Lyu, Demin Song, Qipeng Guo, Hang Yan, Dahua Lin, Kai Chen, Cairong Zhao
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data. CoRR (2024)
Junfeng Long, Wenye Yu, Quanyi Li, Zirui Wang, Dahua Lin, Jiangmiao Pang
Learning H-Infinity Locomotion Control. CoRR (2024)
Jiantao Qiu, Haijun Lv, Zhenjiang Jin, Rui Wang, Wenchang Ning, Jia Yu, ChaoBin Zhang, Zhenxiang Li, Pei Chu, Yuan Qu, Jin Shi, Lindong Lu, Runyu Peng, Zhiyuan Zeng, Huanze Tang, Zhikai Lei, Jiawei Hong, Keyu Chen, Zhaoye Fei, Ruiliang Xu, Wei Li, Zhongying Tu, Dahua Lin, Yu Qiao, Hang Yan, Conghui He
WanJuan-CC: A Safe and High-Quality Open-sourced English Webtext Dataset. CoRR (2024)
Ye Fang, Zeyi Sun, Tong Wu, Jiaqi Wang, Ziwei Liu, Gordon Wetzstein, Dahua Lin
Make-it-Real: Unleashing Large Multimodal Model's Ability for Painting 3D Objects with Realistic Materials. CoRR (2024)
Zhaoye Fei, Yunfan Shao, Linyang Li, Zhiyuan Zeng, Hang Yan, Xipeng Qiu, Dahua Lin
Query of CC: Unearthing Large Scale Domain-Specific Knowledge from Public Corpora. CoRR (2024)
Jiaqi Wang, Yuhang Zang, Pan Zhang, Tao Chu, Yuhang Cao, Zeyi Sun, Ziyu Liu, Xiaoyi Dong, Tong Wu, Dahua Lin, Zeming Chen, Zhi Wang, Lingchen Meng, Wenhao Yao, Jianwei Yang, Sihong Wu, Zhineng Chen, Zuxuan Wu, Yu-Gang Jiang, Peixi Wu, Bosong Chai, Xuan Nie, Longquan Yan, Zeyu Wang, Qifan Zhou, Boning Wang, Jiaqi Huang, Zunnan Xu, Xiu Li, Kehong Yuan, Yanyan Zu, Jiayao Ha, Qiong Gao, Licheng Jiao
V3Det Challenge 2024 on Vast Vocabulary and Open Vocabulary Object Detection: Methods and Results. CoRR (2024)
Kexin Huang, Xiangyang Liu, Qianyu Guo, Tianxiang Sun, Jiawei Sun, Yaru Wang, Zeyang Zhou, Yixu Wang, Yan Teng, Xipeng Qiu, Yingchun Wang, Dahua Lin
Flames: Benchmarking Value Alignment of LLMs in Chinese. NAACL-HLT (2024)
Qianchao Zhu, Jiangfei Duan, Chang Chen, Siran Liu, Xiuhong Li, Guanyu Feng, Xin Lv, Huanqi Cao, Xiao Chuanfu, Xingcheng Zhang, Dahua Lin, Chao Yang
SampleAttention: Near-Lossless Acceleration of Long Context LLM Inference with Adaptive Structured Sparse Attention. CoRR (2024)
Qingyun Li, Zhe Chen, Weiyun Wang, Wenhai Wang, Shenglong Ye, Zhenjiang Jin, Guanzhou Chen, Yinan He, Zhangwei Gao, Erfei Cui, Jiashuo Yu, Hao Tian, Jiasheng Zhou, Chao Xu, Bin Wang, Xingjian Wei, Wei Li, Wenjian Zhang, Bo Zhang, Pinlong Cai, Licheng Wen, Xiangchao Yan, Zhenxiang Li, Pei Chu, Yi Wang, Min Dou, Changyao Tian, Xizhou Zhu, Lewei Lu, Yushi Chen, Junjun He, Zhongying Tu, Tong Lu, Yali Wang, Limin Wang, Dahua Lin, Yu Qiao, Botian Shi, Conghui He, Jifeng Dai
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text. CoRR (2024)
Ruiyuan Lyu, Tai Wang, Jingli Lin, Shuai Yang, Xiaohan Mao, Yilun Chen, Runsen Xu, Haifeng Huang, Chenming Zhu, Dahua Lin, Jiangmiao Pang
MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations. CoRR (2024)
Qinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang
Characterization of Large Language Model Development in the Datacenter. CoRR (2024)
Yilun Chen, Shuai Yang, Haifeng Huang, Tai Wang, Ruiyuan Lyu, Runsen Xu, Dahua Lin, Jiangmiao Pang
Grounded 3D-LLM with Referent Tokens. CoRR (2024)
Yuzhe Gu, Ziwei Ji, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models. CoRR (2024)
Haojie Duanmu, Zhihang Yuan, Xiuhong Li, Jiangfei Duan, Xingcheng Zhang, Dahua Lin
SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models. CoRR (2024)
Yu Sun, Keyuchen Keyuchen, Shujie Wang, Peiji Li, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin
F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods. ACL (1) (2024)
Ziyu Liu, Zeyi Sun, Yuhang Zang, Wei Li, Pan Zhang, Xiaoyi Dong, Yuanjun Xiong, Dahua Lin, Jiaqi Wang
RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognition. CoRR (2024)
Yuxuan Qiao, Haodong Duan, Xinyu Fang, Junming Yang, Lin Chen, Songyang Zhang, Jiaqi Wang, Dahua Lin, Kai Chen
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs. CoRR (2024)
Xinyu Fang, Kangrui Mao, Haodong Duan, Xiangyu Zhao, Yining Li, Dahua Lin, Kai Chen
MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding. CoRR (2024)
Zhen Huang, Zengzhi Wang, Shijie Xia, Xuefeng Li, Haoyang Zou, Ruijie Xu, Run-Ze Fan, Lyumanshan Ye, Ethan Chern, Yixin Ye, Yikai Zhang, Yuqing Yang, Ting Wu, Binjie Wang, Shichao Sun, Yang Xiao, Yiyuan Li, Fan Zhou, Steffi Chern, Yiwei Qin, Yan Ma, Jiadi Su, Yixiu Liu, Yuxiang Zheng, Shaoting Zhang, Dahua Lin, Yu Qiao, Pengfei Liu
OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI. CoRR (2024)
Bowen Li, Wenhan Wu, Ziwei Tang, Lin Shi, John Yang, Jinyang Li, Shunyu Yao, Chen Qian, Binyuan Hui, Qicheng Zhang, Zhiyin Yu, He Du, Ping Yang, Dahua Lin, Chao Peng, Kai Chen
DevBench: A Comprehensive Benchmark for Software Development. CoRR (2024)
Zhiwei Fei, Songyang Zhang, Xiaoyu Shen, Dawei Zhu, Xiao Wang, Maosong Cao, Fengzhe Zhou, Yining Li, Wenwei Zhang, Dahua Lin, Kai Chen, Jidong Ge
InternLM-Law: An Open Source Chinese Legal Large Language Model. CoRR (2024)
Kai Lv, Xiaoran Liu, Qipeng Guo, Hang Yan, Conghui He, Xipeng Qiu, Dahua Lin
LongWanjuan: Towards Systematic Measurement for Long Text Quality. CoRR (2024)
Yuan Liu, Songyang Zhang, Jiacheng Chen, Kai Chen, Dahua Lin
PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling. Trans. Mach. Learn. Res. 2024 (2024)
Mingxin Huang, Dezhi Peng, Hongliang Li, Zhenghao Peng, Chongyu Liu, Dahua Lin, Yuliang Liu, Xiang Bai, Lianwen Jin
SwinTextSpotter v2: Towards Better Synergy for Scene Text Spotting. CoRR (2024)
Yunfan Shao, Linyang Li, Yichuan Ma, Peiji Li, Demin Song, Qinyuan Cheng, Shimin Li, Xiaonan Li, Pengyu Wang, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin
Case2Code: Learning Inductive Reasoning with Synthetic Data. CoRR (2024)
Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Bin Wang, Linke Ouyang, Songyang Zhang, Haodong Duan, Wenwei Zhang, Yining Li, Hang Yan, Yang Gao, Zhe Chen, Xinyue Zhang, Wei Li, Jingwen Li, Wenhai Wang, Kai Chen, Conghui He, Xingcheng Zhang, Jifeng Dai, Yu Qiao, Dahua Lin, Jiaqi Wang
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD. CoRR (2024)
Hanqing Wang, Jiahe Chen, Wensi Huang, Qingwei Ben, Tai Wang, Boyu Mi, Tao Huang, Siheng Zhao, Yilun Chen, Sizhe Yang, Peizhou Cao, Wenye Yu, Zichao Ye, Jialun Li, Junfeng Long, Zirui Wang, Huiling Wang, Ying Zhao, Zhongying Tu, Yu Qiao, Dahua Lin, Jiangmiao Pang
GRUtopia: Dream General Robots in a City at Scale. CoRR (2024)
Can Tan, Honglin Fang, Junye Zhang, Dahua Lin, Liyan Zhang, Yong Zhang, Peng Yu
A Knowledge-driven Self-healing Dual-loop and Validation for Autonomous Networks. APNet (2024)
Jiangfei Duan, Runyu Lu, Haojie Duanmu, Xiuhong Li, Xingcheng Zhang, Dahua Lin, Ion Stoica, Hao Zhang
MuxServe: Flexible Multiplexing for Efficient Multiple LLM Serving. CoRR (2024)
Zijian Wu, Jiayu Wang, Dahua Lin, Kai Chen
LEAN-GitHub: Compiling GitHub LEAN repositories for a versatile LEAN prover. CoRR (2024)
Rongjie Li, Songyang Zhang, Dahua Lin, Kai Chen, Xuming He
From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models. CoRR (2024)
Lijun Li, Bowen Dong, Ruohui Wang, Xuhao Hu, Wangmeng Zuo, Dahua Lin, Yu Qiao, Jing Shao
SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models. CoRR (2024)
Yunfan Shao, Linyang Li, Zhaoye Fei, Hang Yan, Dahua Lin, Xipeng Qiu
Balanced Data Sampling for Language Model Training with Clustering. ACL (Findings) (2024)
Hongwei Liu, Zilong Zheng, Yuxuan Qiao, Haodong Duan, Zhiwei Fei, Fengzhe Zhou, Wenwei Zhang, Songyang Zhang, Dahua Lin, Kai Chen
MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark. ACL (Findings) (2024)
Shuangrui Ding, Zihan Liu, Xiaoyi Dong, Pan Zhang, Rui Qian, Conghui He, Dahua Lin, Jiaqi Wang
SongComposer: A Large Language Model for Lyric and Melody Composition in Song Generation. CoRR (2024)
Pan Zhang, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Rui Qian, Lin Chen, Qipeng Guo, Haodong Duan, Bin Wang, Linke Ouyang, Songyang Zhang, Wenwei Zhang, Yining Li, Yang Gao, Peng Sun, Xinyue Zhang, Wei Li, Jingwen Li, Wenhai Wang, Hang Yan, Conghui He, Xingcheng Zhang, Kai Chen, Jifeng Dai, Yu Qiao, Dahua Lin, Jiaqi Wang
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output. CoRR (2024)
Yikun Wang, Rui Zheng, Liang Ding, Qi Zhang, Dahua Lin, Dacheng Tao
Uncertainty Aware Learning for Language Model Alignment. ACL (1) (2024)
Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Jia Zeng, Zhiqi Li, Jiazhi Yang, Hanming Deng, Hao Tian, Enze Xie, Jiangwei Xie, Li Chen, Tianyu Li, Yang Li, Yulu Gao, Xiaosong Jia, Si Liu, Jianping Shi, Dahua Lin, Yu Qiao
Delving Into the Devils of Bird's-Eye-View Perception: A Review, Evaluation and Recipe. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Huaiyuan Ying, Shuo Zhang, Linyang Li, Zhejian Zhou, Yunfan Shao, Zhaoye Fei, Yichuan Ma, Jiawei Hong, Kuikun Liu, Ziyi Wang, Yudong Wang, Zijian Wu, Shuaibin Li, Fengzhe Zhou, Hongwei Liu, Songyang Zhang, Wenwei Zhang, Hang Yan, Xipeng Qiu, Jiayu Wang, Kai Chen, Dahua Lin
InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning. CoRR (2024)
Conghui He, Wei Li, Zhenjiang Jin, Chao Xu, Bin Wang, Dahua Lin
OpenDataLab: Empowering General Artificial Intelligence with Open Datasets. CoRR (2024)
Zhangyang Qi, Yunhan Yang, Mengchen Zhang, Long Xing, Xiaoyang Wu, Tong Wu, Dahua Lin, Xihui Liu, Jiaqi Wang, Hengshuang Zhao
Tailor3D: Customized 3D Assets Editing and Generation with Dual-Side Images. CoRR (2024)
Weijia Li, Zhenghao Hu, Lingxuan Meng, Jinwang Wang, Juepeng Zheng, Runmin Dong, Conghui He, Gui-Song Xia, Haohuan Fu, Dahua Lin
Weakly Supervised 3-D Building Reconstruction From Monocular Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Jiangfei Duan, Ziang Song, Xupeng Miao, Xiaoli Xi, Dahua Lin, Harry Xu, Minjia Zhang, Zhihao Jia
Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances. NSDI (2024)
Qinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang
Characterization of Large Language Model Development in the Datacenter. NSDI (2024)
Songyang Gao, Qiming Ge, Wei Shen, Shihan Dou, Junjie Ye, Xiao Wang, Rui Zheng, Yicheng Zou, Zhi Chen, Hang Yan, Qi Zhang, Dahua Lin
Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback. CoRR (2024)
Yu Sun, Keyu Chen, Shujie Wang, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin
F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods. CoRR (2024)
Ziwei Ji, Yuzhe Gu, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen
ANAH: Analytical Annotation of Hallucinations in Large Language Models. CoRR (2024)
Zehui Chen, Weihua Du, Wenwei Zhang, Kuikun Liu, Jiangning Liu, Miao Zheng, Jingming Zhuo, Songyang Zhang, Dahua Lin, Kai Chen, Feng Zhao
T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step. ACL (1) (2024)
Hongwei Liu, Zilong Zheng, Yuxuan Qiao, Haodong Duan, Zhiwei Fei, Fengzhe Zhou, Wenwei Zhang, Songyang Zhang, Dahua Lin, Kai Chen
MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark. CoRR (2024)
Demin Song, Honglin Guo, Yunhua Zhou, Shuhao Xing, Yudong Wang, Zifan Song, Wenwei Zhang, Qipeng Guo, Hang Yan, Xipeng Qiu, Dahua Lin
Code Needs Comments: Enhancing Code LLMs with Comment Augmentation. CoRR (2024)
Tao Yuan, Xuefei Ning, Dong Zhou, Zhijie Yang, Shiyao Li, Minghui Zhuang, Zheyue Tan, Zhuyu Yao, Dahua Lin, Boxun Li, Guohao Dai, Shengen Yan, Yu Wang
LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K. CoRR (2024)
Xiao Wang, Tianze Chen, Xianjun Yang, Qi Zhang, Xun Zhao, Dahua Lin
Unveiling the Misuse Potential of Base Large Language Models via In-Context Learning. CoRR (2024)
Runyu Peng, Yunhua Zhou, Qipeng Guo, Yang Gao, Hang Yan, Xipeng Qiu, Dahua Lin
Data-freeWeight Compress and Denoise for Large Language Models. CoRR (2024)
Huaiyuan Ying, Zijian Wu, Yihan Geng, Jiayu Wang, Dahua Lin, Kai Chen
Lean Workbook: A large-scale Lean problem set formalized from natural language math problems. CoRR (2024)
Haodong Duan, Junming Yang, Yuxuan Qiao, Xinyu Fang, Lin Chen, Yuan Liu, Xiaoyi Dong, Yuhang Zang, Pan Zhang, Jiaqi Wang, Dahua Lin, Kai Chen
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models. CoRR (2024)
Jiangfei Duan, Ziang Song, Xupeng Miao, Xiaoli Xi, Dahua Lin, Harry Xu, Minjia Zhang, Zhihao Jia
Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances. CoRR (2024)
Chenyu Shi, Xiao Wang, Qiming Ge, Songyang Gao, Xianjun Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Xun Zhao, Dahua Lin
Navigating the OverKill in Large Language Models. CoRR (2024)
Zeyi Sun, Tong Wu, Pan Zhang, Yuhang Zang, Xiaoyi Dong, Yuanjun Xiong, Dahua Lin, Jiaqi Wang
Bootstrap3D: Improving 3D Content Creation with Synthetic Data. CoRR (2024)
Jiaming Han, Kaixiong Gong, Yiyuan Zhang, Jiaqi Wang, Kaipeng Zhang, Dahua Lin, Yu Qiao, Peng Gao, Xiangyu Yue
OneLLM: One Framework to Align All Modalities with Language. CoRR (2023)

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Publication Activity (10 Years)

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Dahua Lin