hunoutl/paperlists huggingface dataset:
Title: Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
Authors: Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu
Affiliations: School of Computing, National University of Singapore; Department of Computer Science & Technology, Tsinghua University, China; Institute of Data Science, National University of Singapore
Conference: iclr 2024 (main track)
Keywords: Out-of-Distribution generalization;Sharpness;Robustness
Decision: Spotlight
Title: Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
Authors: Tianbao Xie, Siheng Zhao, Chen Henry Wu, Yitao Liu, Qian Luo, Victor Zhong, Yanchao Yang, Tao Yu
Affiliations: The University of Hong Kong; Carnegie Mellon University; University of Waterloo; Nanjing University; Microsoft Research
Conference: iclr 2024 (main track)
Keywords: reinforcement learning; large language models; robotics
Decision: Spotlight
Title: Generative Modeling with Phase Stochastic Bridge
Authors: Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos Theodorou, Joshua Susskind, Shuangfei Zhai
Affiliations: Apple; Georgia Tech
Conference: iclr 2024 (main track)
Keywords: Generative Modeling;Stochastic Optimal Control;Diffusion Model
Decision: Oral
Title: GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
Authors: Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun
Affiliations: University of Illinois Urbana-Champaign; GE HealthCare; OSF HealthCare
Conference: iclr 2024 (main track)
Keywords: EHR Prediction;Personalized Knowledge Graph;Graph Neural Network
Decision: Poster
Title: Learning to Reject Meets Long-tail Learning
Authors: Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Neha Gupta, Sanjiv Kumar
Affiliations: Google Research
Conference: iclr 2024 (main track)
Keywords: Learning to reject;balanced error;evaluation metrics;selective classification;plug-in approach;long-tail learning;class imbalance;non-decomposable metrics
Decision: Spotlight
Title: Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization
Authors: Kun LEI, Zhengmao He, Chenhao Lu, Kaizhe Hu, Yang Gao, Huazhe Xu
Affiliations: Shanghai AI Lab; Tsinghua University, IIIS; The Hong Kong University of Science and Technology (Guangzhou); Shanghai Qi Zhi Institute
Conference: iclr 2024 (main track)
Keywords: Offline-to-Online Fine-tuning;On-policy Learning;Robot Learning;Reinforcement Learning
Decision: Poster
Title: A Benchmark for Learning to Translate a New Language from One Grammar Book
Authors: Garrett Tanzer, Mirac Suzgun, Eline Visser, Dan Jurafsky, Luke Melas-Kyriazi
Affiliations: Stanford University; Oxford University; Google; University of Oslo
Conference: iclr 2024 (main track)
Keywords: low-resource languages;indigenous languages;endangered languages;long context;field linguistics;unseen tasks;large language models;machine translation;benchmark
Decision: Spotlight
Title: $\mathbb{D}^2$ Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning
Authors: Adyasha Maharana, Prateek Yadav, Mohit Bansal
Affiliations: Department of Computer Science, University of North Carolina at Chapel Hill
Conference: iclr 2024 (main track)
Keywords: coreset selection;data pruning;data;graph;message passing;data distillation
Decision: Poster
Title: Compositional Preference Models for Aligning LMs
Authors: DONGYOUNG GO, Tomek Korbak, Germàn Kruszewski, Jos Rozen, Marc Dymetman
Affiliations: Naver Labs Europe; Independent Researcher; University of Sussex; Naver Corp, Yonsei University
Conference: iclr 2024 (main track)
Keywords: language model alignment;preference model;Reinforcement Learning from Human Feedback (RLHF);overoptimization;interpretability;scalable oversight;reward hacking
Decision: Poster
Title: Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community
Authors: Arman Isajanyan, Artur Shatveryan, David Kocharian, Zhangyang Wang, Humphrey Shi
Affiliations: Picsart AI Research (PAIR), Georgia Tech; Picsart AI Research (PAIR); Picsart AI Research (PAIR), UT Austin
Conference: iclr 2024 (main track)
Keywords: human feedback;text to image;generative AI;image quality scoring
Decision: Spotlight
Title: Motif: Intrinsic Motivation from Artificial Intelligence Feedback
Authors: Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff
Affiliations: Mila, McGill University; FAIR at Meta; FAIR at Meta, UT Austin; Mila, FAIR at Meta; Mila; Mila, Universit&eacute; de Montr&eacute;al
Conference: iclr 2024 (main track)
Keywords: intrinsic motivation;rlaif;large language models;exploration;open-endedness;nethack;alignment;diversity
Decision: Poster
Title: Maximum Entropy Heterogeneous-Agent Reinforcement Learning
Authors: Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, QIANG FU, Xiaojun Chang, Yaodong Yang
Affiliations: Institute for AI, Peking University, National Key Laboratory of General AI, BIGAI; University of Technology Sydney; Tencent AI Lab; Institute for AI, Peking University
Conference: iclr 2024 (main track)
Keywords: cooperative multi-agent reinforcement learning;heterogeneous-agent soft actor-critic;maximum entropy heterogeneous-agent mirror learning
Decision: Spotlight
Title: Does CLIP’s generalization performance mainly stem from high train-test similarity?
Authors: Prasanna Mayilvahanan, Thaddäus Wiedemer, Evgenia Rusak, Matthias Bethge, Wieland Brendel
Affiliations: University of Tübingen, Tübingen AI Center; University of Tübingen, Tübingen AI Center, Max-Planck-Institute for Intelligent Systems, Tübingen; Tübingen AI Center, Max-Planck-Institute for Intelligent Systems, Tübingen, ELLIS Institute Tübingen
Conference: iclr 2024 (main track)
Keywords: robustness;foundation models;CLIP;LAION;ImageNet;generalization;OOD robustness;distribution shift;vision language models;self-supervised learning;contrastive learning;ObjectNet;ImageNet-R;ImageNet-Sketch;ImageNet-A;ImageNet-V2
Decision: Poster
Title: Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
Authors: Sebastian Pineda Arango, Fabio Ferreira, Arlind Kadra, Frank Hutter, Josif Grabocka
Affiliations: Department of Computer Science, University of Freiburg
Conference: iclr 2024 (main track)
Keywords: Finetuning;pretrained model hubs;transfer learning;hyperparameter optimization;meta-learning
Decision: Oral
Title: Evaluating Large Language Models at Evaluating Instruction Following
Authors: Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen
Affiliations: Department of Computer Science and Technology, Tsinghua University; Department of Computer Science, University of Illinois Urbana-Champaign; Princeton Language and Intelligence (PLI), Princeton University
Conference: iclr 2024 (main track)
Keywords: large language models;instruction tuning;evaluation;benchmark;instruction following
Decision: Poster
Title: SafeDreamer: Safe Reinforcement Learning with World Models
Authors: Weidong Huang, Jiaming Ji, Chunhe Xia, Borong Zhang, Yaodong Yang
Affiliations: School of Cyber Science and Technology, Beihang University; Institute of Artificial Intelligence, Peking University
Conference: iclr 2024 (main track)
Keywords: Safe Reinforcement Learning;SafeRL;World Model
Decision: Poster
Title: SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS
Authors: Yameng Peng, Andy Song, Haytham Fayek, Vic Ciesielski, Xiaojun Chang
Affiliations: School of Computing Technologies, RMIT University, Australia; University of Technology Sydney, Mohamed bin Zayed University of Artificial Intelligence
Conference: iclr 2024 (main track)
Keywords: Neural Architecture Search;Network evaluation;Training-free metric;Deep neural networks
Decision: Spotlight
Title: Towards Understanding Sycophancy in Language Models
Authors: Mrinank Sharma, Meg Tong, Tomek Korbak, David Duvenaud, Amanda Askell, Sam Bowman, Esin DURMUS, Zac Hatfield-Dodds, Scott Johnston, Shauna Kravec, Timothy Maxwell, Sam McCandlish, Kamal Ndousse, Oliver Rausch, Nicholas Schiefer, Da Yan, Miranda Zhang, Ethan Perez
Affiliations: Independent Researcher; Anthropic; University of Sussex, FAR AI; Anthropic, University of Oxford
Conference: iclr 2024 (main track)
Keywords: AI safety;language models;sycophancy;human feedback;RLHF
Decision: Poster
Title: Learning invariant representations of time-homogeneous stochastic dynamical systems
Authors: Vladimir Kostic, Pietro Novelli, Riccardo Grazzi, Karim Lounici, massimiliano pontil
Affiliations: CMAP École Polytechnique; Istituto Italiano di Tecnologia; Istituto Italiano di Tecnologia, University of Novi Sad; Istituto Italiano di Tecnologia, University College London
Conference: iclr 2024 (main track)
Keywords: Dynamical systems;statistical learning
Decision: Poster
Title: The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model
Authors: Daniel Goldfarb, Itay Evron, Nir Weinberger, Daniel Soudry, Paul Hand
Affiliations: Northeastern University; Department of Electrical and Computer Engineering, Technion
Conference: iclr 2024 (main track)
Keywords: deep learning;continual learning;overparameterization;task similarity;catastrophic forgetting;theory
Decision: Poster
Title: Scaling physics-informed hard constraints with mixture-of-experts
Authors: Nithin Chalapathi, Yiheng Du, Aditi Krishnapriyan
Affiliations: University of California, Berkeley
Conference: iclr 2024 (main track)
Keywords: Physics-Informed Machine Learning;PDEs;differentiable optimization;differentiable physics;neural networks;mixture of experts;constrained optimization;neural operators
Decision: Poster
Title: ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models
Authors: Yingqing He, Shaoshu Yang, Haoxin Chen, Xiaodong Cun, Menghan Xia, Yong Zhang, Xintao Wang, Ran He, Qifeng Chen, Ying Shan
Affiliations: Hong Kong University of Science and Technology; Chinese Academy of Sciences; Tencent AI Lab
Conference: iclr 2024 (main track)
Keywords: text-to-image generation;diffusion models;high resolution generation
Decision: Spotlight
Title: Large Language Models as Generalizable Policies for Embodied Tasks
Authors: Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Katherine Metcalf, Walter Talbott, Natalie Mackraz, R Devon Hjelm, Alexander Toshev
Affiliations: Apple
Conference: iclr 2024 (main track)
Keywords: Embodied AI;Reinforcement Learning;Large Language Models;Foundational Models
Decision: Poster
Title: Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
Authors: Guang Lin, Chao Li, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao
Affiliations: 3. Hangzhou Dianzi University; 1. Tokyo University of Agriculture and Technology, 2. RIKEN Center for Advanced Intelligence Project (RIKEN AIP); 2. RIKEN Center for Advanced Intelligence Project (RIKEN AIP)
Conference: iclr 2024 (main track)
Keywords: adversarial attacks;adversarial training;adversarial purification
Decision: Poster
Title: Augmenting Transformers with Recursively Composed Multi-grained Representations
Authors: Xiang Hu, Qingyang Zhu, Kewei Tu, Wei Wu
Affiliations: Ant Group; ShanghaiTech University
Conference: iclr 2024 (main track)
Keywords: NLP; recursive neural network; multi-grain representation; compositional representation;span labeling;relation extraction; grammar induction;language understanding
Decision: Poster
Title: Entity-Centric Reinforcement Learning for Object Manipulation from Pixels
Authors: Dan Haramati, Tal Daniel, Aviv Tamar
Affiliations: Department of Electrical and Computer Engineering, Technion - Israel Institute of Technology
Conference: iclr 2024 (main track)
Keywords: deep reinforcement learning;visual reinforcement learning;object-centric;robotic object manipulation;compositional generalization
Decision: Spotlight
Title: Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
Authors: Linan Yue, Qi Liu, Yichao Du, Li Wang, Weibo Gao, Yanqing An
Affiliations: State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China; State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center Hefei, China; ByteDance
Conference: iclr 2024 (main track)
Keywords: Selective Rationalization;Shortcut
Decision: Poster
Title: Expected flow networks in stochastic environments and two-player zero-sum games
Authors: Marco Jiralerspong, Bilun Sun, Danilo Vucetic, Tianyu Zhang, Yoshua Bengio, Gauthier Gidel, Nikolay Malkin
Affiliations: Mila – Quebec AI Institute, Universite de Montreal
Conference: iclr 2024 (main track)
Keywords: generative flow networks;GFlowNets;protein design;game theory;self-play;adversarial learning;stochastic environments;quantal response equilibrium;Luce agents;sequential decision making
Decision: Poster
Title: GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers
Authors: Takeru Miyato, Bernhard Jaeger, Max Welling, Andreas Geiger
Affiliations: University of Tübingen, Tübingen AI Center; University of Amsterdam
Conference: iclr 2024 (main track)
Keywords: transformer;attention;geometry-aware attention;multi-view understanding;novel view synthesis;group theory
Decision: Poster
Title: BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks
Authors: Frederikke Marin, Felix Teufel, Marc Horlacher, Dennis Madsen, Dennis Pultz, Ole Winther, Wouter Boomsma
Affiliations: Department of Biology, University of Copenhagen; DTU Compute, Technical University of Denmark; Department of Computer Science, University of Copenhagen; Computational Health Center, Helmholtz Center Munich; Digital Science & Innovation, Novo Nordisk A/S; Bioinformatics & Design, Enzyme Research, Novozymes A/S
Conference: iclr 2024 (main track)
Keywords: Biological sequence analysis;enhancer annotation;gene finding;gene annotation;Language model;genome modelling;benchmark;LLM;embeddings;representations;DNA
Decision: Poster
Title: Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment
Authors: Bowen Gao, Yinjun JIA, Yuanle Mo, yuyan ni, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan
Affiliations: School of Information and Software Engineering, UESTC; School of Life Sciences, IDG/McGovern Institute for Brain Research, Tsinghua University; Institute for AI Industry Research, Tsinghua University; Beijing Frontier Research Center for Biological Structure, Tsinghua University; Academy of Mathematics and Systems Science, Chinese Academy of Sciences; Institute for AI Industry Research, Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Drug Discovery;Pretraining
Decision: Poster
Title: Learning with Mixture of Prototypes for Out-of-Distribution Detection
Authors: Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore
Affiliations: CSIRO’s Data61; University of New South Wales; University of New South Wales, CSIRO’s Data61
Conference: iclr 2024 (main track)
Keywords: out-of-distribution detection;prototypical learning;hyperspherical embedding
Decision: Poster
Title: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
Authors: Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao
Affiliations: University of Illinois Urbana-Champaign; Microsoft
Conference: iclr 2024 (main track)
Keywords: Large Language Model;Efficient Inference;Generative Inference;Key-Value Cache
Decision: Oral
Title: Unpaired Image-to-Image Translation via Neural Schrödinger Bridge
Authors: Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Ye
Affiliations: Department of Bio and Brain Engineering, KAIST; Kim Jaechul Graduate School of AI, KAIST
Conference: iclr 2024 (main track)
Keywords: Style Transfer;Schrödinger Bridge Problem;Adversarial Training
Decision: Poster
Title: In-context Autoencoder for Context Compression in a Large Language Model
Authors: Tao Ge, Hu Jing, Lei Wang, Xun Wang, Si-Qing Chen, Furu Wei
Affiliations: Microsoft Corporation (Internship at Microsoft Research); Microsoft Corporation
Conference: iclr 2024 (main track)
Keywords: large language model;context compression;in-context autoencoder;pretraining;fine-tuning;Llama;GPT;memorization
Decision: Poster
Title: Unbiased Watermark for Large Language Models
Authors: Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang
Affiliations: School of Computer Science, University of Waterloo, Waterloo, ON N2L 3G1, Canada; Department of ECE, University of Pittsburgh, Pittsburgh, PA 15261, USA; Department of Computer Science, University of Maryland, College Park, MD 20742, USA
Conference: iclr 2024 (main track)
Keywords: watermark;bias
Decision: Spotlight
Title: Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches
Authors: Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei XIE, Hang Su, Jun Zhu
Affiliations: Dept. of Comp. Sci. and Tech., Institute for AI, Tsinghua-Bosch Joint ML Center, THBI Lab, BNRist Center, Tsinghua University, Beijing, 100084, China; RealAI; Dept. of Comp. Sci. and Tech., Institute for AI, Tsinghua-Bosch Joint ML Center, THBI Lab, BNRist Center, Tsinghua University, Beijing, 100084, China
Conference: iclr 2024 (main track)
Keywords: Adversarial patches;active defense;embodied intelligence
Decision: Poster
Title: Implicit Neural Representations and the Algebra of Complex Wavelets
Authors: T Mitchell Roddenberry, Vishwanath Saragadam, Maarten V de Hoop, Richard Baraniuk
Affiliations: UC Riverside; Rice University, Houston, TX, USA
Conference: iclr 2024 (main track)
Keywords: implicit neural representations;algebra;multilayer perceptrons;wavelet
Decision: Poster
Title: Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem
Authors: Albert Xu, Jhih-Yi Hsieh, Bhaskar Vundurthy, Nithya Kemp, Eliana Cohen, Lu Li, Howie Choset
Affiliations: Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15232, USA
Conference: iclr 2024 (main track)
Keywords: Metric Learning;Triplet Loss;Hard Negative Mining
Decision: Poster
Title: Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs
Authors: Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin
Affiliations: University of Michigan; Carnegie Mellon University; Hanyang University ERICA; NAVER; KAIST
Conference: iclr 2024 (main track)
Keywords: Large language models;Long context handling;Token pruning
Decision: Poster
Title: Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
Authors: Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
Affiliations: School of Computing and Augmented Intelligence, Arizona State University, US; School of Computing and Information Sciences, Florida International University, US; College Information Sciences and Technology, The Pennsylvania State University, US; NEC Laboratories America, US
Conference: iclr 2024 (main track)
Keywords: Graph Neural Networks;Graph Explanation;XAI
Decision: Poster
Title: LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors
Authors: Sheng JIn, Xueying Jiang, Jiaxing Huang, Lewei Lu, Shijian Lu
Affiliations: S-Lab, Nanyang Technological University; SenseTime Research
Conference: iclr 2024 (main track)
Keywords: Open Vocabulary Object Detection;Visual descriptors
Decision: Poster
Title: Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
Authors: Anson Simon Bastos, Kuldeep Singh, Abhishek Nadgeri, Manish Singh, Toyotaro Suzumura
Affiliations: Indian Institute of Technology Hyderabad, India; HERE Technologies, India; Indian Institute of Technology Hyderabad, India; RWTH Aachen, Germany; Cerence Gmbh, Germany; The University of Tokyo, Japan
Conference: iclr 2024 (main track)
Keywords: Temporal Dynamic Graphs;Spectral Transform;GNN
Decision: Poster
Title: DEEP NEURAL NETWORK INITIALIZATION WITH SPARSITY INDUCING ACTIVATIONS
Authors: Ilan Price, Nicholas Daultry Ball, Adam Jones, Samuel Chun Hei Lam, Jared Tanner
Affiliations: Mathematical Institute, University of Oxford
Conference: iclr 2024 (main track)
Keywords: Deep neural network;random initialisation;sparsity;gaussian process
Decision: Poster
Title: Bayesian Coreset Optimization for Personalized Federated Learning
Authors: Prateek Chanda, Shrey Modi, Ganesh Ramakrishnan
Affiliations: Department of Computer Science, Indian Institute of Technology Bombay, India
Conference: iclr 2024 (main track)
Keywords: federated learning;personalized federated learning;bayesian coreset;submodularity;variational inference;coresets;optimization
Decision: Poster
Title: Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models
Authors: Sean Kulinski, Zeyu Zhou, Ruqi Bai, Murat Kocaoglu, David Inouye
Affiliations: Elmore Family School of Electrical and Computer Engineering, Purdue University
Conference: iclr 2024 (main track)
Keywords: counterfactual;domain;causal representation learning
Decision: Poster
Title: AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ
Authors: Jonas Belouadi, Anne Lauscher, Steffen Eger
Affiliations: Natural Language Learning Group, University of Mannheim, Germany; Natural Language Learning Group, Bielefeld University, Germany; Data Science Group, University of Hamburg, Germany
Conference: iclr 2024 (main track)
Keywords: Vector Graphics Generation;Code Generation;Science Generation;TikZ;Text-to-Image
Decision: Poster
Title: RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment
Authors: Kevin Yang, Dan Klein, Asli Celikyilmaz, Nanyun (Violet) Peng, Yuandong Tian
Affiliations: Meta AI; UCLA; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: Language Model;RLHF;Alignment;Instruction Tuning
Decision: Poster
Title: Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers
Authors: Oren Mangoubi, Nisheeth Vishnoi
Affiliations: Worcester Polytechnic Institute; Yale University
Conference: iclr 2024 (main track)
Keywords: Logconcave sampling;Dikin walk;Markov chain Monte Carlo;Interior point methods
Decision: Poster
Title: Statistically Optimal $K$-means Clustering via Nonnegative Low-rank Semidefinite Programming
Authors: Yubo Zhuang, Xiaohui Chen, Yun Yang, Richard Zhang
Affiliations: University of Illinois at Urbana-Champaign; University of Southern California
Conference: iclr 2024 (main track)
Keywords: clustering;Burer-Monteiro;semidefinite programming
Decision: Oral
Title: Let's Verify Step by Step
Authors: Hunter Lightman, Vineet Kosaraju, Yuri Burda, Harrison Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, Karl Cobbe
Affiliations: OpenAI, San Francisco, CA, USA
Conference: iclr 2024 (main track)
Keywords: LLMs;chain of thought;verifiers;human feedback;reasoning
Decision: Poster
Title: A Framework for Inference Inspired by Human Memory Mechanisms
Authors: Xiangyu Zeng, Jie Lin, Piao Hu, Ruizheng Huang, Zhicheng Zhang
Affiliations: Laboratory of Intelligent Collaborative Computing, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
Conference: iclr 2024 (main track)
Keywords: memory;transformers;architecture;inference;cognitive model
Decision: Poster
Title: Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning
Authors: Hansheng Xue, Vijini Mallawaarachchi, Lexing Xie, Vaibhav Rajan
Affiliations: College of Science and Engineering, Flinders University, Adelaide, Australia; School of Computing, National University of Singapore, Singapore; School of Computing, Australian National University, Canberra, Australia
Conference: iclr 2024 (main track)
Keywords: Metagenomics Binning;Computational Genomics;Graph Neural Networks
Decision: Poster