All paper pages
28734 retained paper pages. Page 216 of 288.
- EvoPress: Accurate Dynamic Model Compression via Evolutionary Search
Oliver Sieberling, Denis Kuznedelev, Eldar Kurtic, Dan Alistarh · 2024
- Decomposing The Dark Matter of Sparse Autoencoders
Joshua Engels, Logan Riggs, Max Tegmark · 2024
- RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph
Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu · 2024
- BrainTransformers: SNN-LLM
Zhengzheng Tang, Eva Zhu · 2024
- Transformers are Efficient Compilers, Provably
Xiyu Zhai, Runlong Zhou, Liao Zhang, Simon Shaolei Du · 2024
- An upper limit to the lifetime of stellar remnants from gravitational pair production
Heino Falcke, Michael F. Wondrak, Walter D. van Suijlekom · 2024
- Enhancing Prompt Injection Attacks to LLMs via Poisoning Alignment
Zedian Shao, Hongbin Liu, Jaden Mu, Neil Zhenqiang Gong · 2024
- GlitchMiner: Mining Glitch Tokens in Large Language Models via Gradient-based Discrete Optimization
Zihui Wu, Haichang Gao, Ping Wang, Shudong Zhang, Zhaoxiang Liu, Shiguo Lian · 2024
- Causality for Large Language Models
Anpeng Wu, Kun Kuang, Minqin Zhu, Yingrong Wang, Yujia Zheng, Kairong Han, Baohong Li, Guangyi Chen, Fei Wu, Kun Zhang · 2024
- A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice
Hsiu-Yuan Huang, Yutong Yang, Zhaoxi Zhang, Sanwoo Lee, Yunfang Wu · 2024
- Allegro: Open the Black Box of Commercial-Level Video Generation Model
Yuan Zhou, Qiuyue Wang, Yuxuan Cai, Huan Yang · 2024
- What Emergence Can Possibly Mean
Sean M. Carroll, Achyuth Parola · 2024
- Moonshine: Speech Recognition for Live Transcription and Voice Commands
Nat Jeffries, Evan King, Manjunath Kudlur, Guy Nicholson, James Wang, Pete Warden · 2024
- Can Large Language Models Invent Algorithms to Improve Themselves?: Algorithm Discovery for Recursive Self-Improvement through Reinforcement Learning
Yoichi Ishibashi, Taro Yano, Masafumi Oyamada · 2024
- Voice-Enabled AI Agents can Perform Common Scams
Richard Fang, Dylan Bowman, Daniel Kang · 2024
- MINFLUX -- molecular resolution with minimal photons
Lukas Scheiderer, Zach Marin, Jonas Ries · 2024
- Protein structure classification based on X-ray laser induced Coulomb explosion
Tomas André, Ibrahim Dawod, Sebastian Cardoch, Emiliano De Santis, Nicusor Timneanu, Carl Caleman · 2024
- Developing Retrieval Augmented Generation (RAG) based LLM Systems from PDFs: An Experience Report
Ayman Asad Khan, Md Toufique Hasan, Kai Kristian Kemell, Jussi Rasku, Pekka Abrahamsson · 2024
- Do LLMs write like humans? Variation in grammatical and rhetorical styles
Alex Reinhart, Ben Markey, Michael Laudenbach, Kachatad Pantusen, Ronald Yurko, Gordon Weinberg, David West Brown · 2024
- Learning SQL from within: integrating database exercises into the database itself
Aristide Grange · 2024
- 1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs
Jinheng Wang, Hansong Zhou, Ting Song, Shaoguang Mao, Shuming Ma, Hongyu Wang, Yan Xia, Furu Wei · 2024
- Loss of 12 Starlink Satellites Due to Pre-conditioning of Intense Space Weather Activity Surrounding the Extreme Geomagnetic Storm of 10 May 2024
Ayisha M Ashruf, Ankush Bhaskar, C Vineeth, Tarun Kumar Pant, Ashna V M · 2024
- Assessing the Performance of Human-Capable LLMs -- Are LLMs Coming for Your Job?
John Mavi, Nathan Summers, Sergio Coronado · 2024
- Hardware-Software Co-optimised Fast and Accurate Deep Reconfigurable Spiking Inference Accelerator Architecture Design Methodology
Anagha Nimbekar, Prabodh Katti, Chen Li, Bashir M. Al-Hashimi, Amit Acharyya, Bipin Rajendran · 2024
- Integer Factorization via Tensor Network Schnorr's Sieving
Marco Tesoro, Ilaria Siloi, Daniel Jaschke, Giuseppe Magnifico, Simone Montangero · 2024
- Designing Robust Cyber-Defense Agents with Evolving Behavior Trees
Nicholas Potteiger, Ankita Samaddar, Hunter Bergstrom, Xenofon Koutsoukos · 2024
- Improving Neuron-level Interpretability with White-box Language Models
Hao Bai, Yi Ma · 2024
- Catastrophic Failure of LLM Unlearning via Quantization
Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang · 2024
- Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective
Zhexuan Liu, Rong Ma, Yiqiao Zhong · 2024
- MotionGlot: A Multi-Embodied Motion Generation Model
Sudarshan Harithas, Srinath Sridhar · 2024
- Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World
Joshua Kazdan, Rylan Schaeffer, Apratim Dey, Matthias Gerstgrasser, Rafael Rafailov, David L. Donoho, Sanmi Koyejo · 2024
- Revealing Hidden Bias in AI: Lessons from Large Language Models
Django Beatty, Kritsada Masanthia, Teepakorn Kaphol, Niphan Sethi · 2024
- Downtime Required for Bitcoin Quantum-Safety
Jamie J. Pont, Joseph J. Kearney, Jack Moyler, Carlos A. Perez-Delgado · 2024
- LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging
Ke Wang, Nikolaos Dimitriadis, Alessandro Favero, Guillermo Ortiz-Jimenez, Francois Fleuret, Pascal Frossard · 2024
- Improving Pinterest Search Relevance Using Large Language Models
Han Wang, Mukuntha Narayanan Sundararaman, Onur Gungor, Yu Xu, Krishna Kamath, Rakesh Chalasani, Kurchi Subhra Hazra, Jinfeng Rao · 2024
- Remote Timing Attacks on Efficient Language Model Inference
Nicholas Carlini, Milad Nasr · 2024
- SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning
Yizhou Chi, Yizhang Lin, Sirui Hong, Duyi Pan, Yaying Fei, Guanghao Mei, Bangbang Liu, Tianqi Pang, Jacky Kwok, Ceyao Zhang, Bang Liu, Chenglin Wu · 2024
- Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss
Zesen Cheng, Hang Zhang, Kehan Li, Sicong Leng, Zhiqiang Hu, Fei Wu, Deli Zhao, Xin Li, Lidong Bing · 2024
- Representing Web Applications As Knowledge Graphs
Yogesh Chandrasekharuni · 2024
- EmoGene: Audio-Driven Emotional 3D Talking-Head Generation
Wenqing Wang, Yun Fu · 2024
- LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra · 2024
- Interpreting Affine Recurrence Learning in GPT-style Transformers
Samarth Bhargav, Alexander Gu · 2024
- Bauplan: zero-copy, scale-up FaaS for data pipelines
Jacopo Tagliabue, Tyler Caraza-Harter, Ciro Greco · 2024
- Advancing Interpretability in Text Classification through Prototype Learning
Bowen Wei, Ziwei Zhu · 2024
- Topology meets Machine Learning: An Introduction using the Euler Characteristic Transform
Bastian Rieck · 2024
- First measurement of A = 4 (anti)hypernuclei at the LHC
ALICE Collaboration · 2024
- Learning Lossless Compression for High Bit-Depth Volumetric Medical Image
Kai Wang, Yuanchao Bai, Daxin Li, Deming Zhai, Junjun Jiang, Xianming Liu · 2024
- Dynamic models of gentrification
Giovanni Mauro, Nicola Pedreschi, Renaud Lambiotte, Luca Pappalardo · 2024
- MiniFed : Integrating LLM-based Agentic-Workflow for Simulating FOMC Meeting
Sungil Seok, Shuide Wen, Qiyuan Yang, Juan Feng, Wenming Yang · 2024
- Magnetic field sorting of superconducting graphite particles with T$_c$$>$400K
Manuel Núñez-Regueiro, Thibaut Devillers, Eric Beaugnon, Armand de Marles, Thierry Crozes, Sébastien Pairis, Christopher Swale, Holger Klein, Olivier Leynaud, Abdelali Hadj-Azzem, Frédéric Gay, Didier Dufeu · 2024
- EON: A practical energy-preserving rough diffuse BRDF
Jamie Portsmouth, Peter Kutz, Stephen Hill · 2024
- Charon: An Analysis Framework for Rust
Son Ho, Guillaume Boisseau, Lucas Franceschino, Yoann Prak, Aymeric Fromherz, Jonathan Protzenko · 2024
- B-Side: Binary-Level Static System Call Identification
Gaspard Thévenon, Kevin Nguetchouang, Kahina Lazri, Alain Tchana, Pierre Olivier · 2024
- WorldSimBench: Towards Video Generation Models as World Simulators
Yiran Qin, Zhelun Shi, Jiwen Yu, Xijun Wang, Enshen Zhou, Lijun Li, Zhenfei Yin, Xihui Liu, Lu Sheng, Jing Shao, Lei Bai, Wanli Ouyang, Ruimao Zhang · 2024
- ALTA: Compiler-Based Analysis of Transformers
Peter Shaw, James Cohan, Jacob Eisenstein, Kenton Lee, Jonathan Berant, Kristina Toutanova · 2024
- RingGesture: A Ring-Based Mid-Air Gesture Typing System Powered by a Deep-Learning Word Prediction Framework
Junxiao Shen, Roger Boldu, Arpit Kalla, Michael Glueck, Hemant Bhaskar Surale Amy Karlson · 2024
- Multiple Global Peaks Big Bang-Big Crunch Algorithm for Multimodal Optimization
Fabio Stroppa, Ahmet Astar · 2024
- Improving Embedding Accuracy for Document Retrieval Using Entity Relationship Maps and Model-Aware Contrastive Sampling
Thea Aviss · 2024
- Point Cloud Compression with Bits-back Coding
Nguyen Quang Hieu, Minh Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz · 2024
- Orbit of a Possible Planet X
Amir Siraj, Christopher F. Chyba, Scott Tremaine · 2024
- CUTECat: Concolic Execution for Computational Law
Pierre Goutagny, Aymeric Fromherz, Raphaël Monat · 2024
- Context-Augmented Code Generation Using Programming Knowledge Graphs
Iman Saberi, Fatemeh Fard · 2024
- Crux, a Precise Verifier for Rust and Other Languages
Stuart Pernsteiner, Iavor S. Diatchki, Robert Dockins, Mike Dodds, Joe Hendrix, Tristan Ravich, Patrick Redmond, Ryan Scott, Aaron Tomb · 2024
- Identifying Factors Contributing to Bad Days for Software Developers: A Mixed Methods Study
Ike Obi, Jenna Butler, Sankeerti Haniyur, Brian Hassan, Margaret-Anne Storey, Brendan Murphy · 2024
- Decoding on Graphs: Faithful and Sound Reasoning on Knowledge Graphs through Generation of Well-Formed Chains
Kun Li, Tianhua Zhang, Xixin Wu, Hongyin Luo, James Glass, Helen Meng · 2024
- Large Language Models Reflect the Ideology of their Creators
Maarten Buyl, Alexander Rogiers, Sander Noels, Guillaume Bied, Iris Dominguez-Catena, Edith Heiter, Iman Johary, Alexandru-Cristian Mara, Raphaël Romero, Jefrey Lijffijt, Tijl De Bie · 2024
- Rethinking Attention: Polynomial Alternatives to Softmax in Transformers
Hemanth Saratchandran, Jianqiao Zheng, Yiping Ji, Wenbo Zhang, Simon Lucey · 2024
- Entry-level guide to the use of large language models for medical research
Qiao Jin, Nicholas Wan, Robert Leaman, Shubo Tian, Zhizheng Wang, Yifan Yang, Zifeng Wang, Guangzhi Xiong, Po-Ting Lai, Qingqing Zhu, Benjamin Hou, Maame Sarfo-Gyamfi, Gongbo Zhang, Aidan Gilson, Balu Bhasuran, Zhe He, Aidong Zhang, Jimeng Sun, Chunhua Weng, Ronald M. Summers, Qingyu Chen, Yifan Peng, Zhiyong Lu · 2024
- Building a Planet Atmosphere: Fundamental Physics and Chemistry
Emily Rauscher · 2024
- O1 Replication Journey: A Strategic Progress Report -- Part 1
Yiwei Qin, Xuefeng Li, Haoyang Zou, Yixiu Liu, Shijie Xia, Zhen Huang, Yixin Ye, Weizhe Yuan, Hector Liu, Yuanzhi Li, Pengfei Liu · 2024
- Hard Proofs and Good Reasons
Simon DeDeo · 2024
- Mixture of Parrots: Experts improve memorization more than reasoning
Samy Jelassi, Clara Mohri, David Brandfonbrener, Alex Gu, Nikhil Vyas, Nikhil Anand, David Alvarez-Melis, Yuanzhi Li, Sham M. Kakade, Eran Malach · 2024
- ReasonAgain: Using Extractable Symbolic Programs to Evaluate Mathematical Reasoning
Xiaodong Yu, Ben Zhou, Hao Cheng, Dan Roth · 2024
- Observed Gravitational-Wave Populations
T. A. Callister · 2024
- Rewrite it in Rust: A Computational Physics Case Study
Willow Veytsman, Shuang Zhai, Chen Ding, Adam B. Sefkow · 2024
- SoftSnap: Rapid Prototyping of Untethered Soft Robots Using Snap-Together Modules
Luyang Zhao, Yitao Jiang, Chun-Yi She, Muhao Chen, Devin Balkcom · 2024
- Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning
Yu Fu, Zefan Cai, Abedelkadir Asi, Wayne Xiong, Yue Dong, Wen Xiao · 2024
- Brain-like Variational Inference
Hadi Vafaii, Dekel Galor, Jacob L. Yates · 2024
- Conditional Hallucinations for Image Compression
Till Aczel, Roger Wattenhofer · 2024
- Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
Antonia Wüst, Tim Woydt, Lukas Helff, Inga Ibs, Wolfgang Stammer, Devendra S. Dhami, Constantin A. Rothkopf, Kristian Kersting · 2024
- CoqPilot, a plugin for LLM-based generation of proofs
Andrei Kozyrev, Gleb Solovev, Nikita Khramov, Anton Podkopaev · 2024
- Combining LLM Code Generation with Formal Specifications and Reactive Program Synthesis
William Murphy, Nikolaus Holzer, Feitong Qiao, Leyi Cui, Raven Rothkopf, Nathan Koenig, Mark Santolucito · 2024
- The Geometry of Concepts: Sparse Autoencoder Feature Structure
Yuxiao Li, Eric J. Michaud, David D. Baek, Joshua Engels, Xiaoqing Sun, Max Tegmark · 2024
- Gender Bias of LLM in Economics: An Existentialism Perspective
Hui Zhong, Songsheng Chen, Mian Liang · 2024
- Improving Multimodal Large Language Models Using Continual Learning
Shikhar Srivastava, Md Yousuf Harun, Robik Shrestha, Christopher Kanan · 2024
- Scheduling Languages: A Past, Present, and Future Taxonomy
Mary Hall, Cosmin Oancea, Anne C. Elster, Ari Rasch, Sameeran Joshi, Amir Mohammad Tavakkoli, Richard Schulze · 2024
- Beyond Fine-Tuning: Effective Strategies for Mitigating Hallucinations in Large Language Models for Data Analytics
Mikhail Rumiantsau, Aliaksei Vertsel, Ilya Hrytsuk, Isaiah Ballah · 2024
- Physics-informed Shadowgraph Network: An End-to-end Density Field Reconstruction Method
Xutun Wang, Yuchen Zhang, Zidong Li, Haocheng Wen, Bing Wang · 2024
- Improving Model Evaluation using SMART Filtering of Benchmark Datasets
Vipul Gupta, Candace Ross, David Pantoja, Rebecca J. Passonneau, Megan Ung, Adina Williams · 2024
- Model Equality Testing: Which Model Is This API Serving?
Irena Gao, Percy Liang, Carlos Guestrin · 2024
- The McKay Conjecture on character degrees
Marc Cabanes, Britta Späth · 2024
- Generator Matching: Generative modeling with arbitrary Markov processes
Peter Holderrieth, Marton Havasi, Jason Yim, Neta Shaul, Itai Gat, Tommi Jaakkola, Brian Karrer, Ricky T. Q. Chen, Yaron Lipman · 2024
- Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering
Meng Wei, Qianyi Wu, Jianmin Zheng, Hamid Rezatofighi, Jianfei Cai · 2024
- Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
Sangmin Bae, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Seungyeon Kim, Tal Schuster · 2024
- Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation
Jaechang Kim, Jinmin Goh, Inseok Hwang, Jaewoong Cho, Jungseul Ok · 2024
- Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks
Dario Pasquini, Evgenios M. Kornaropoulos, Giuseppe Ateniese · 2024
- Can we find bugs using LLM-generated oracles?
Michael Konstantinou, Renzo Degiovanni, Mike Papadakis · 2024
- LoRA vs Full Fine-tuning: An Illusion of Equivalence
Reece Shuttleworth, Jacob Andreas, Antonio Torralba, Pratyusha Sharma · 2024
- Modular Duality in Deep Learning
Jeremy Bernstein, Laker Newhouse · 2024
- Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics
Yaniv Nikankin, Anja Reusch, Aaron Mueller, Yonatan Belinkov · 2024