hunoutl/paperlists huggingface dataset:
Title: No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions
Authors: Tiancheng Jin, Junyan Liu, Chloé Rouyer, William Chang, Chen-Yu Wei, Haipeng Luo
Affiliations: MIT Institute for Data, Systems, and Society; University of California, Los Angeles; University of Copenhagen; University of Southern California; University of California, San Diego
Conference: nips 2023 (main track)
Keywords: reinforcement Learning;best of both worlds;MDP;robust RL;adversarial corruption
Decision: Poster
Title: BubbleML: A Multiphase Multiphysics Dataset and Benchmarks for Machine Learning
Authors: Sheikh Md Shakeel Hassan, Arthur Feeney, Akash Dhruv, Jihoon Kim, Youngjoon Suh, Jaiyoung Ryu, Yoonjin Won, Aparna Chandramowlishwaran
Affiliations: University of California, Irvine; Korea University; Argonne National Laboratory
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Multi-Physics Simulation;Scientific Machine Learning;Phase Change Physics;Operator Learning;Optical Flow
Decision: Spotlight
Title: Score-based Generative Models with Lévy Processes
Authors: 윤은비
Affiliations: Department of Statistics, Korea University; Artificial Intelligence Graduate School, UNIST; Department of Artificial Intelligence, Korea University; LG AI Research, SNU-LG AI Research Center, Department of Statistics, Korea University
Conference: nips 2023 (main track)
Keywords: Generative Model;Score-based Method;Lévy processes
Decision: Spotlight
Title: On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes
Authors: Rajat Modi, Vibhav Vineet, Yogesh Rawat
Affiliations: Microsoft Research; CRCV, University of Central Florida
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: mortal computation;occlusion;capsules;transformers;action detection
Decision: Poster
Title: A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
Authors: Jiaxin Shi, Lester Mackey
Affiliations: Microsoft Research New England, Cambridge, MA 02474; Stanford University, Stanford, CA 94305
Conference: nips 2023 (main track)
Keywords: Stein Variational Gradient Descent;SVGD;variational inference;sampling;optimization;Stein's method
Decision: Poster
Title: Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing
Authors: Jung Yeon Park, Lawson Wong, Robin Walters
Affiliations: Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115; Northeastern University, Boston, MA 02115
Conference: nips 2023 (main track)
Keywords: message passing;dynamics;mesh;symmetry;equivariance
Decision: Poster
Title: Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Authors: Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, zengfeng Huang
Affiliations: Fudan University
Conference: nips 2023 (main track)
Keywords: Imbalanced Node Classification;Bias-Variance Decomposition;Graph Neural Networks
Decision: Poster
Title: Described Object Detection: Liberating Object Detection with Flexible Expressions
Authors: Chi Xie, Zhao Zhang, Yixuan Wu, Feng Zhu, Rui Zhao, Shuang Liang
Affiliations: SenseTime Research; Zhejiang University; Tongji University
Conference: nips 2023 (main track)
Keywords: open-vocabulary object detection;referring expression comprehension;multi-modal detection
Decision: Poster
Title: Transformer-based Planning for Symbolic Regression
Authors: Parshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan Reddy
Affiliations: Department of Computer Science, Virginia Tech; Department of Mechanical Engineering, Carnegie Mellon University; Machine Learning Department, Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: Symbolic Regression;Transformers;Planning;Deep Learning
Decision: Poster
Title: Collaborative Score Distillation for Consistent Visual Editing
Authors: Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
Affiliations: KAIST; Google Research
Conference: nips 2023 (main track)
Keywords: Score Distillation Sampling;Diffusion model;Editing
Decision: Poster
Title: Two-Stage Predict+Optimize for MILPs with Unknown Parameters in Constraints
Authors: Xinyi Hu, Jasper Lee, Jimmy Lee
Affiliations: Department of Computer Sciences & Institute for Foundations of Data Science, University of Wisconsin–Madison, WI, USA; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong
Conference: nips 2023 (main track)
Keywords: Constraint optimization;Predict+Optimize
Decision: Poster
Title: Lovász Principle for Unsupervised Graph Representation Learning
Authors: Ziheng Sun, Chris Ding, Jicong Fan
Affiliations: School of Data Science, The Chinese University of Hong Kong, Shenzhen, China; Shenzhen Research Institute of Big Data, Shenzhen, China; School of Data Science, The Chinese University of Hong Kong, Shenzhen, China
Conference: nips 2023 (main track)
Keywords: Lovász Number;graph-level representation learning;unsupervised learning;semi-supervised learning
Decision: Poster
Title: On the Convergence of No-Regret Learning Dynamics in Time-Varying Games
Authors: Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm
Affiliations: Carnegie Mellon University, Strategic Machine, Inc., Strategy Robot, Inc., Optimized Markets, Inc.; Carnegie Mellon University; University of California Irvine; MIT
Conference: nips 2023 (main track)
Keywords: no-regret learning;optimistic gradient descent;time-varying games;dynamic regret
Decision: Poster
Title: Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization
Authors: Jun Chen, Hong Chen, Bin Gu, Hao Deng
Affiliations: College of Informatics, Huazhong Agricultural University, China; Engineering Research Center of Intelligent Technology for Agriculture, China; Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, China; College of Informatics, Huazhong Agricultural University, China; School of Artificial Intelligence, Jilin University, China; Mohamed bin Zayed University of Artificial Intelligence
Conference: nips 2023 (main track)
Keywords: Federated zeroth-order optimization;stability analysis;theoretical guarantee;non-convex optimization;sub-Weibull distribution
Decision: Poster
Title: Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory
Authors: Ankur Sikarwar, Mengmi Zhang
Affiliations: School of Computer Science and Engineering, Nanyang Technological University, Singapore; Deep NeuroCognition Lab, Institute for Infocomm Research (I2R), A*STAR, Singapore; Center for Frontier AI Research (CFAR), Agency for Science, Technology, and Research (A*STAR), Singapore; Deep NeuroCognition Lab, Institute for Infocomm Research (I2R), A*STAR, Singapore; Center for Frontier AI Research (CFAR), Agency for Science, Technology, and Research (A*STAR), Singapore
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: working memory;neuroscience;cognitive science;RNNs;transformers;behavioral;neural;benchmark
Decision: Poster
Title: Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent
Authors: Tianle Liu, Promit Ghosal, Krishnakumar Balasubramanian, Natesh Pillai
Affiliations: Department of Mathematics, Massachusetts Institute of Technology, Waltham, MA 02453; Department of Statistics, University of California, Davis, Davis, CA 95616; Department of Statistics, Harvard University, Cambridge, MA 02138
Conference: nips 2023 (main track)
Keywords: Stein variational gradient descent;Gaussian variational inference;Rates of Convergence
Decision: Poster
Title: Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
Authors: Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann
Affiliations: University of Science and Technology of China; National University of Singapore; Beijing Jiaotong University; The Hong Kong University of Science and Technology (Guangzhou)
Conference: nips 2023 (main track)
Keywords: Spatio-temporal forecasting
Decision: Poster
Title: De novo Drug Design using Reinforcement Learning with Multiple GPT Agents
Authors: Xiuyuan Hu, Guoqing Liu, Yang Zhao, Hao Zhang
Affiliations: Microsoft Research AI4Science; Department of Electronic Engineering, Tsinghua University; Department of Electronic Engineering, Tsinghua University; Microsoft Research AI4Science
Conference: nips 2023 (main track)
Keywords: De novo drug design;Molecular generation;Multi-agent reinforcement learning;GPT
Decision: Poster
Title: Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations
Authors: Hammaad Adam, Fan Yin, Huibin Hu, Neil Tenenholtz, Lorin Crawford, Lester Mackey, Allison Koenecke
Affiliations: Amazon (Work performed while at Microsoft); Massachusetts Institute of Technology; Cornell University; Microsoft Research; Microsoft Corporation
Conference: nips 2023 (main track)
Keywords: Randomized experiments;heterogeneous effects;causal machine learning;fairness;sequential testing;clinical trials;A/B testing
Decision: Spotlight
Title: Cascading Contextual Assortment Bandits
Authors: Hyun-jun Choi, Rajan Udwani, Min-hwan Oh
Affiliations: UC Berkeley, Berkeley, CA, USA; Seoul National University, Seoul, South Korea
Conference: nips 2023 (main track)
Keywords: cascade bandit;assortment bandit;upper confidence bound;exploration and exploitation;combinatorial optimization
Decision: Poster
Title: HeadSculpt: Crafting 3D Head Avatars with Text
Authors: Xiao Han, Yukang Cao, Kai Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang, Kwan-Yee K. Wong
Affiliations: The University of Hong Kong; University of Surrey; Imperial College London
Conference: nips 2023 (main track)
Keywords: 3D generative model;head avatar;diffusion models;neural rendering
Decision: Poster
Title: Large language models transition from integrating across position-yoked, exponential windows to structure-yoked, power-law windows
Authors: David Skrill, Samuel Norman-Haignere
Affiliations: Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY 14642; Depts. of Biostatistics and Computational Biology, Neuroscience, University of Rochester Medical Center, Depts. of Brain and Cognitive Sciences, Biomedical Engineering, University of Rochester, Rochester, NY 14642
Conference: nips 2023 (main track)
Keywords: language modeling;temporal integration;transformers;timescales;model interpretation
Decision: Poster
Title: How a Student becomes a Teacher: learning and forgetting through Spectral methods
Authors: Lorenzo Giambagli, Lorenzo Buffoni, Lorenzo Chicchi, Duccio Fanelli
Affiliations: Department of Physics, University of Florence; Department of Physics, University of Florence; Department of Mathematics, University of Namur
Conference: nips 2023 (main track)
Keywords: Network Slimming;Spectral Analysis;Node Pruning;Teacher-Student
Decision: Poster
Title: Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
Authors: Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein
Affiliations: University of Copenhagen; Vrije Universiteit Amsterdam; Discovery Lab, Elsevier, The Netherlands; University of Edinburgh
Conference: nips 2023 (main track)
Keywords: complex query answering;neural link prediction;knowledge graph embeddings;knowledge graphs;relational learning;adapters
Decision: Poster
Title: On Computing Pairwise Statistics with Local Differential Privacy
Authors: Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Adam Sealfon
Affiliations: Google Research, New York, NY, US; Google Research, Bangkok, Thailand; Google Research, Mountain View, CA, US
Conference: nips 2023 (main track)
Keywords: differential privacy;local differential privacy;pairwise statistics
Decision: Poster
Title: Learning and Collusion in Multi-unit Auctions
Authors: Simina Branzei, Mahsa Derakhshan, Negin Golrezaei, Yanjun Han
Affiliations: New York University; Purdue University; Northeastern University; MIT
Conference: nips 2023 (main track)
Keywords: multi-unit auctions;repeated auctions;online learning;collusion;games and learning;lower bounds;multiplicative weight updates;bandit learning
Decision: Poster
Title: Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance
Authors: Congyue Deng, Jiahui Lei, William B Shen, Kostas Daniilidis, Leonidas Guibas
Affiliations: Stanford University; University of Pennsylvania, Archimedes, Athena RC; University of Pennsylvania
Conference: nips 2023 (main track)
Keywords: 3D deep learning;equivariant network;pointcloud segmentation;multi-body system
Decision: Spotlight
Title: Blurred-Dilated Method for Adversarial Attacks
Authors: Yang Deng, Weibin Wu, Jianping Zhang, Zibin Zheng
Affiliations: Department of Computer Science and Engineering, The Chinese University of Hong Kong; School of Software Engineering, Sun Yat-sen University
Conference: nips 2023 (main track)
Keywords: Transferable adversarial example
Decision: Poster
Title: Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals
Authors: Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu
Affiliations: Pohang University of Science and Technology; University of North Carolina at Greensboro; University of North Carolina at Chapel Hill
Conference: nips 2023 (main track)
Keywords: graph neural networks (GNNs);total variation (TV);Euler–Lagrange equation;calculus of variations;over-smoothing;min-max optimization
Decision: Poster
Title: Diverse Community Data for Benchmarking Data Privacy Algorithms
Authors: Aniruddha Sen, Christine Task, Dhruv Kapur, Gary Howarth, Karan Bhagat
Affiliations: NIST, Boulder, CO 80305; University of Massachusetts, Amherst, MA 01003; University of Michigan, Ann Arbor, MI 48109; Knexus Research, Oxon Hill, MD 20745
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: privacy;data deidentification;synthetic data;benchmarks;data evaluation
Decision: Poster
Title: Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data
Authors: Praveen Venkatesh, Corbett Bennett, Sam Gale, Tamina Ramirez, Greggory Heller, Severine Durand, Shawn Olsen, Stefan Mihalas
Affiliations: Allen Institute; Massachusetts Institute of Technology; Allen Institute; University of Washington; Columbia University
Conference: nips 2023 (main track)
Keywords: partial information decomposition;estimation;bias;inter-area interaction;neuroscience
Decision: Spotlight
Title: Single-Stage Visual Query Localization in Egocentric Videos
Authors: Hanwen Jiang, Santhosh Kumar Ramakrishnan, Kristen Grauman
Affiliations: UT Austin, FAIR, Meta; UT Austin
Conference: nips 2023 (main track)
Keywords: Visual Query Localization;Egocentric Video;Spatial-Temporal Correspondence;Episodic Memory
Decision: Poster
Title: CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion
Authors: Guangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari, Nassir Navab, Benjamin Busam
Affiliations: Technical University of Munich, Google; Technical University of Munich, Munich Center for Machine Learning; Technical University of Munich
Conference: nips 2023 (main track)
Keywords: Scene Graph;Scene Synthesis;Diffusion Model;Graph Convolution Network
Decision: Poster
Title: Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds
Authors: Naoki Nishikawa, Yuichi Ike, Kenji Yamanishi
Affiliations: The University of Tokyo; Kyushu University
Conference: nips 2023 (main track)
Keywords: point cloud;persistence homology;isometry-invariant networks;filtration learning
Decision: Poster
Title: Tanh Works Better with Asymmetry
Authors: Dongjin Kim, Woojeong Kim, Suhyun Kim
Affiliations: Department of Computer Science, Cornell University; Department of Computer Science and Engineering, Korea University; Korea Institute of Science and Technology
Conference: nips 2023 (main track)
Keywords: Batch Normalization;Activation Functions;Saturation;Sparsity
Decision: Poster
Title: Convolutional State Space Models for Long-Range Spatiotemporal Modeling
Authors: Jimmy Smith, Shalini De Mello, Jan Kautz, Scott Linderman, Wonmin Byeon
Affiliations: NVIDIA; Institute for Computational and Mathematical Engineering, Stanford University; Department of Statistics, Stanford University
Conference: nips 2023 (main track)
Keywords: spatiotemporal modeling;ConvLSTM;RNN;state spaces;SSM;S4;S5;long-range dependencies;video prediction
Decision: Poster
Title: Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints
Authors: Jayadev Acharya, Clément L Canonne, Ziteng Sun, Himanshu Tyagi
Affiliations: Cornell University; University of Sydney; Indian Institute of Science, Bangalore; Google Research, New York
Conference: nips 2023 (main track)
Keywords: statistical estimation; interactivity; local differential privacy; communication constraint
Decision: Poster
Title: EPIC Fields: Marrying 3D Geometry and Video Understanding
Authors: Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi
Affiliations: NA VER LABS Europe; University of Bristol; VGG, University of Oxford; New York University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Egocentric; Video; 3D
Decision: Poster
Title: Exact Verification of ReLU Neural Control Barrier Functions
Authors: Hongchao Zhang, Junlin Wu, Yevgeniy Vorobeychik, Andrew Clark
Affiliations: Electrical & Systems Engineering, Washington University in St. Louis, St. Louis, MO 63130; Computer Science & Engineering, Washington University in St. Louis, St. Louis, MO 63130
Conference: nips 2023 (main track)
Keywords: Safety;Neural Barrier Function;Verification
Decision: Poster
Title: Momentum Provably Improves Error Feedback!
Authors: Ilyas Fatkhullin, Alexander Tyurin, Peter Richtarik
Affiliations: King Abdullah University of Science and Technology (KAUST); KAUST; ETH AI Center & ETH Zurich
Conference: nips 2023 (main track)
Keywords: Heavy-ball momentum;Polyak momentum;Error feedback;Federated Learning;Distributed Optimization;Stochastic optimization;Nonconvex optimization
Decision: Poster
Title: Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation
Authors: Hongcheng Wang, Andy Guan Hong Chen, Xiaoqi Li, Mingdong Wu, Hao Dong
Affiliations: School of EECS, Peking University; CFCS, School of CS, Peking University
Conference: nips 2023 (main track)
Keywords: Visual Navigation;Demand-Driven Navigation
Decision: Poster
Title: Towards Efficient Image Compression Without Autoregressive Models
Authors: Muhammad Salman Ali, Yeongwoong Kim, Maryam Qamar, Sung-Chang Lim, Donghyun Kim, Chaoning Zhang, Sung-Ho Bae, Hui Yong Kim
Affiliations: Electronics and Telecommunications Research Institute (ETRI), Republic of Korea; Kyung Hee University, Republic of Korea
Conference: nips 2023 (main track)
Keywords: Image Compression;Correlation
Decision: Poster
Title: Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis
Authors: Shreyas Malakarjun Patil, Loizos Michael, Constantine Dovrolis
Affiliations: Georgia Institute of Technology, Atlanta, USA; Open University of Cyprus, Nicosia, Cyprus; The Cyprus Institute, Nicosia, Cyprus
Conference: nips 2023 (main track)
Keywords: Neural networks;Hierarchical modularity;Pruning;Sparsity
Decision: Poster
Title: Implicit Transfer Operator Learning: Multiple Time-Resolution Models for Molecular Dynamics
Authors: Mathias Schreiner, Ole Winther, Simon Olsson
Affiliations: DTU; DTU†, Chalmers University of Technology; Chalmers University of Technology‡
Conference: nips 2023 (main track)
Keywords: AI4Science;Molecular Dynamics;equivariant neural networks;stochastic dynamics
Decision: Poster
Title: Exponentially Convergent Algorithms for Supervised Matrix Factorization
Authors: Hanbaek Lyu
Affiliations: Department of Statistics, University of California, Riverside, CA, USA; Department of Mathematics, University of Wisconsin - Madison, WI, USA; Department of Statistics, University of Wisconsin - Madison, WI, USA
Conference: nips 2023 (main track)
Keywords: Supervised matrix factorization;multi-objective optimization;global convergence;linear convergence;statistical estimation
Decision: Poster
Title: Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding
Authors: George Ma, Yifei Wang, Yisen Wang
Affiliations: National Key Lab of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Institute for Artificial Intelligence, Peking University; School of Electronics Engineering and Computer Science, Peking University; School of Mathematical Sciences, Peking University
Conference: nips 2023 (main track)
Keywords: Graph Neural Networks;Positional Encoding;Spectral Embedding;Laplacian Eigenvectors
Decision: Poster
Title: Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations
Authors: Yu Cao, Jingrun Chen, Yixin Luo, Xiang ZHOU
Affiliations: Institute of Natural Sciences and School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai 200240, China; University of Science and Technology of China, Hefei 230026, China; Suzhou Institute of Advanced Research, University of Science and Technology of China, Suzhou 215123, China; School of Data Science and Department of Mathematics, City University of Hong Kong, Kowloon, Hong Kong SAR
Conference: nips 2023 (main track)
Keywords: diffusion models; stochastic differential equations; score-based generative models; asymptotic analysis
Decision: Poster
Title: Adjustable Robust Reinforcement Learning for Online 3D Bin Packing
Authors: Yuxin Pan, Yize Chen, Fangzhen Lin
Affiliations: AI Thrust, The Hong Kong University of Science and Technology (Guangzhou); CSE, The Hong Kong University of Science and Technology; EMIA, The Hong Kong University of Science and Technology
Conference: nips 2023 (main track)
Keywords: online 3D bin packing problem;combinatorial optimization problem;reinforcement learning
Decision: Poster
Title: Energy Guided Diffusion for Generating Neurally Exciting Images
Authors: Pawel Pierzchlewicz, Konstantin Willeke, Arne Nix, Pavithra Elumalai, Kelli Restivo, Tori Shinn, Cate Nealley, Gabrielle Rodriguez, Saumil Patel, Katrin Franke, Andreas Tolias, Fabian Sinz
Affiliations: Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA; Institute for Bioinformatics and Medical Informatics, Tübingen University, Tübingen, Germany; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA; Institute for Bioinformatics and Medical Informatics, Tübingen University, Tübingen, Germany; Institute of Computer Science and Campus Institute Data Science, University of Göttingen, Germany
Conference: nips 2023 (main track)
Keywords: most exciting inputs;diffusion models;energy guidance;attention;macaque V4
Decision: Poster
Title: What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
Authors: Taicheng Guo, kehan Guo, Bozhao Nan, Zhenwen Liang, Zhichun Guo, Nitesh Chawla, Olaf Wiest, Xiangliang Zhang
Affiliations: University of Notre Dame
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Large Language Models;AI for Chemistry
Decision: Poster