HackerPapers

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28734 retained paper pages. Page 193 of 288.

  1. Anchor-based Large Language Models

    Jianhui Pang, Fanghua Ye, Derek Fai Wong, Xin He, Wanshun Chen, Longyue Wang · 2024

  2. Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model

    Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, Wei-Yin Ko, Daniel D'souza, Gbemileke Onilude, Neel Bhandari, Shivalika Singh, Hui-Lee Ooi, Amr Kayid, Freddie Vargus, Phil Blunsom, Shayne Longpre, Niklas Muennighoff, Marzieh Fadaee, Julia Kreutzer, Sara Hooker · 2024

  3. Suppressing Pink Elephants with Direct Principle Feedback

    Louis Castricato, Nathan Lile, Suraj Anand, Hailey Schoelkopf, Siddharth Verma, Stella Biderman · 2024

  4. FAST: Factorizable Attention for Speeding up Transformers

    Armin Gerami, Monte Hoover, Pranav S. Dulepet, Ramani Duraiswami · 2024

  5. UFO: A UI-Focused Agent for Windows OS Interaction

    Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang · 2024

  6. LLMs Among Us: Generative AI Participating in Digital Discourse

    Kristina Radivojevic, Nicholas Clark, Paul Brenner · 2024

  7. ScreenAgent: A Vision Language Model-driven Computer Control Agent

    Runliang Niu, Jindong Li, Shiqi Wang, Yali Fu, Xiyu Hu, Xueyuan Leng, He Kong, Yi Chang, Qi Wang · 2024

  8. Careless Whisper: Speech-to-Text Hallucination Harms

    Allison Koenecke, Anna Seo Gyeong Choi, Katelyn X. Mei, Hilke Schellmann, Mona Sloane · 2024

  9. Large Language Models as Agents in Two-Player Games

    Yang Liu, Peng Sun, Hang Li · 2024

  10. BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data

    Mateusz Łajszczak, Guillermo Cámbara, Yang Li, Fatih Beyhan, Arent van Korlaar, Fan Yang, Arnaud Joly, Álvaro Martín-Cortinas, Ammar Abbas, Adam Michalski, Alexis Moinet, Sri Karlapati, Ewa Muszyńska, Haohan Guo, Bartosz Putrycz, Soledad López Gambino, Kayeon Yoo, Elena Sokolova, Thomas Drugman · 2024

  11. On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks

    Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati · 2024

  12. VerMCTS: Synthesizing Multi-Step Programs using a Verifier, a Large Language Model, and Tree Search

    David Brandfonbrener, Simon Henniger, Sibi Raja, Tarun Prasad, Chloe Loughridge, Federico Cassano, Sabrina Ruixin Hu, Jianang Yang, William E. Byrd, Robert Zinkov, Nada Amin · 2024

  13. On Limitations of the Transformer Architecture

    Binghui Peng, Srini Narayanan, Christos Papadimitriou · 2024

  14. World Model on Million-Length Video And Language With Blockwise RingAttention

    Hao Liu, Wilson Yan, Matei Zaharia, Pieter Abbeel · 2024

  15. An Executable Specification of Oncology Dose-Escalation Protocols with Prolog

    David C. Norris, Markus Triska · 2024

  16. LLMs and the Human Condition

    Peter Wallis · 2024

  17. Large Language Models for the Automated Analysis of Optimization Algorithms

    Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa · 2024

  18. If Turing played piano with an artificial partner

    Dobromir Dotov, Dante Camarena, Zack Harris, Joanna Spyra, Pietro Gagliano, Laurel Trainor · 2024

  19. Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

    Miltiadis Allamanis, Sheena Panthaplackel, Pengcheng Yin · 2024

  20. SEASONS: Signal and Energy Aware Sensing on iNtermittent Systems

    Pouya Mahdi Gholami, Henry Hoffmann · 2024

  21. On-the-Fly Syntax Highlighting: Generalisation and Speed-ups

    Marco Edoardo Palma, Alex Wolf, Pasquale Salza, Harald C. Gall · 2024

  22. DNABERT-S: Pioneering Species Differentiation with Species-Aware DNA Embeddings

    Zhihan Zhou, Weimin Wu, Harrison Ho, Jiayi Wang, Lizhen Shi, Ramana V Davuluri, Zhong Wang, Han Liu · 2024

  23. Rethinking Machine Unlearning for Large Language Models

    Sijia Liu, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Yuguang Yao, Chris Yuhao Liu, Xiaojun Xu, Hang Li, Kush R. Varshney, Mohit Bansal, Sanmi Koyejo, Yang Liu · 2024

  24. Combining Insights From Multiple Large Language Models Improves Diagnostic Accuracy

    Gioele Barabucci, Victor Shia, Eugene Chu, Benjamin Harack, Nathan Fu · 2024

  25. Position: Topological Deep Learning is the New Frontier for Relational Learning

    Theodore Papamarkou, Tolga Birdal, Michael Bronstein, Gunnar Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Veličković, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi · 2024

  26. Extreme Video Compression with Pre-trained Diffusion Models

    Bohan Li, Yiming Liu, Xueyan Niu, Bo Bai, Lei Deng, Deniz Gündüz · 2024

  27. Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models

    Martha Lewis, Melanie Mitchell · 2024

  28. A Comprehensive Review of Software and Hardware Energy Efficiency of Video Decoders

    Matthias Kränzler, Christian Herglotz, André Kaup · 2024

  29. Software in the natural world: A computational approach to hierarchical emergence

    Fernando E. Rosas, Bernhard C. Geiger, Andrea I Luppi, Anil K. Seth, Daniel Polani, Michael Gastpar, Pedro A. M. Mediano · 2024

  30. Three Decades of Activations: A Comprehensive Survey of 400 Activation Functions for Neural Networks

    Vladimír Kunc, Jiří Kléma · 2024

  31. Database for the meta-analysis of the social cost of carbon (v2026.1)

    Richard S. J. Tol · 2024

  32. Automated Unit Test Improvement using Large Language Models at Meta

    Nadia Alshahwan, Jubin Chheda, Anastasia Finegenova, Beliz Gokkaya, Mark Harman, Inna Harper, Alexandru Marginean, Shubho Sengupta, Eddy Wang · 2024

  33. Instruction Backdoor Attacks Against Customized LLMs

    Rui Zhang, Hongwei Li, Rui Wen, Wenbo Jiang, Yuan Zhang, Michael Backes, Yun Shen, Yang Zhang · 2024

  34. DoRA: Weight-Decomposed Low-Rank Adaptation

    Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Min-Hung Chen · 2024

  35. What Large-Scale Publication and Citation Data Tell Us About International Research Collaboration in Europe: Changing National Patterns in Global Contexts

    Marek Kwiek · 2023

  36. Design and Implementation of a Scalable Financial Exchange in the Public Cloud

    Muhammad Haseeb, Jinkun Geng, Daniel Duclos-Cavalcanti, Ulysses Butler, Xiyu Hao, Radhika Mittal, Srinivas Narayana, Anirudh Sivaraman · 2024

  37. Rethinking Large Language Model Architectures for Sequential Recommendations

    Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Yadav, Fei Wang, Zhen Wen, Jiliang Tang, Hui Liu · 2024

  38. A 3D Memristor Architecture for In-Memory Computing Demonstrated with SHA3

    Muayad J. Aljafar, Rasika Joshi, John M. Acken · 2024

  39. Combatting deepfakes: Policies to address national security threats and rights violations

    Andrea Miotti, Akash Wasil · 2024

  40. SARLink: Satellite Backscatter Connectivity using Synthetic Aperture Radar

    Geneva Ecola, Bill Yen, Ana Banzer Morgado, Bodhi Priyantha, Ranveer Chandra, Zerina Kapetanovic · 2024

  41. ME-ViT: A Single-Load Memory-Efficient FPGA Accelerator for Vision Transformers

    Kyle Marino, Pengmiao Zhang, Viktor Prasanna · 2024

  42. Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States

    Hanyu Duan, Yi Yang, Kar Yan Tam · 2024

  43. Agents Need Not Know Their Purpose

    Paulo Garcia · 2024

  44. Effective and Scalable Math Support: Evidence on the Impact of an AI- Tutor on Math Achievement in Ghana

    Owen Henkel, Hannah Horne-Robinson, Nessie Kozhakhmetova, Amanda Lee · 2024

  45. Lester: rotoscope animation through video object segmentation and tracking

    Ruben Tous · 2024

  46. Generative Representational Instruction Tuning

    Niklas Muennighoff, Hongjin Su, Liang Wang, Nan Yang, Furu Wei, Tao Yu, Amanpreet Singh, Douwe Kiela · 2024

  47. DE-COP: Detecting Copyrighted Content in Language Models Training Data

    André V. Duarte, Xuandong Zhao, Arlindo L. Oliveira, Lei Li · 2024

  48. Why are Sensitive Functions Hard for Transformers?

    Michael Hahn, Mark Rofin · 2024

  49. Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length

    Nur Lan, Emmanuel Chemla, Roni Katzir · 2024

  50. BitDelta: Your Fine-Tune May Only Be Worth One Bit

    James Liu, Guangxuan Xiao, Kai Li, Jason D. Lee, Song Han, Tri Dao, Tianle Cai · 2024

  51. Chain-of-Thought Reasoning Without Prompting

    Xuezhi Wang, Denny Zhou · 2024

  52. Temporal Analysis of Drifting Hashtags in Textual Data Streams: A Graph-Based Application

    Cristiano M. Garcia, Alceu de Souza Britto, Jean Paul Barddal · 2024

  53. Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review

    Jing Su, Chufeng Jiang, Xin Jin, Yuxin Qiao, Tingsong Xiao, Hongda Ma, Rong Wei, Zhi Jing, Jiajun Xu, Junhong Lin · 2024

  54. BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains

    Yanis Labrak, Adrien Bazoge, Emmanuel Morin, Pierre-Antoine Gourraud, Mickael Rouvier, Richard Dufour · 2024

  55. Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)

    Usha Bhalla, Alex Oesterling, Suraj Srinivas, Flavio P. Calmon, Himabindu Lakkaraju · 2024

  56. DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

    Ajay Patel, Colin Raffel, Chris Callison-Burch · 2024

  57. Darwin Turing Dawkins: Building a General Theory of Evolution

    Leonard M. Adleman · 2024

  58. Do Llamas Work in English? On the Latent Language of Multilingual Transformers

    Chris Wendler, Veniamin Veselovsky, Giovanni Monea, Robert West · 2024

  59. BlackJAX: Composable Bayesian inference in JAX

    Alberto Cabezas, Adrien Corenflos, Junpeng Lao, Rémi Louf, Antoine Carnec, Kaustubh Chaudhari, Reuben Cohn-Gordon, Jeremie Coullon, Wei Deng, Sam Duffield, Gerardo Durán-Martín, Marcin Elantkowski, Dan Foreman-Mackey, Michele Gregori, Carlos Iguaran, Ravin Kumar, Martin Lysy, Kevin Murphy, Juan Camilo Orduz, Karm Patel, Xi Wang, Rob Zinkov · 2024

  60. Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities

    Hua Tang, Chong Zhang, Mingyu Jin, Qinkai Yu, Zhenting Wang, Xiaobo Jin, Yongfeng Zhang, Mengnan Du · 2024

  61. Robust agents learn causal world models

    Jonathan Richens, Tom Everitt · 2024

  62. The Unreasonable Effectiveness of Eccentric Automatic Prompts

    Rick Battle, Teja Gollapudi · 2024

  63. Measuring and Controlling Instruction (In)Stability in Language Model Dialogs

    Kenneth Li, Tianle Liu, Naomi Bashkansky, David Bau, Fernanda Viégas, Hanspeter Pfister, Martin Wattenberg · 2024

  64. FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models

    Gagan Bhatia, El Moatez Billah Nagoudi, Hasan Cavusoglu, Muhammad Abdul-Mageed · 2024

  65. Depth-dependent study of time-reversal symmetry-breaking in the kagome superconductor $A$V$_{3}$Sb$_{5}$

    J. N. Graham, C. Mielke, D. Das, T. Morresi, V. Sazgari, A. Suter, T. Prokscha, H. Deng, R. Khasanov, S. D. Wilson, A. C. Salinas, M. M. Martins, Y. Zhong, K. Okazaki, Z. Wang, M. Z. Hasan, M. Fischer, T. Neupert, J. -X. Yin, S. Sanna, H. Luetkens, Z. Salman, P. Bonfa, Z. Guguchia · 2024

  66. Speculative Streaming: Fast LLM Inference without Auxiliary Models

    Nikhil Bhendawade, Irina Belousova, Qichen Fu, Henry Mason, Mohammad Rastegari, Mahyar Najibi · 2024

  67. LiGNN: Graph Neural Networks at LinkedIn

    Fedor Borisyuk, Shihai He, Yunbo Ouyang, Morteza Ramezani, Peng Du, Xiaochen Hou, Chengming Jiang, Nitin Pasumarthy, Priya Bannur, Birjodh Tiwana, Ping Liu, Siddharth Dangi, Daqi Sun, Zhoutao Pei, Xiao Shi, Sirou Zhu, Qianqi Shen, Kuang-Hsuan Lee, David Stein, Baolei Li, Haichao Wei, Amol Ghoting, Souvik Ghosh · 2024

  68. A Relativistic Framework to Establish Coordinate Time on the Moon and Beyond

    Neil Ashby, Bijunath Patla · 2024

  69. M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection

    Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohanned Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov · 2024

  70. Social Norms in Cinema: A Cross-Cultural Analysis of Shame, Pride and Prejudice

    Sunny Rai, Khushang Jilesh Zaveri, Shreya Havaldar, Soumna Nema, Lyle Ungar, Sharath Chandra Guntuku · 2024

  71. VoltSchemer: Use Voltage Noise to Manipulate Your Wireless Charger

    Zihao Zhan, Yirui Yang, Haoqi Shan, Hanqiu Wang, Yier Jin, Shuo Wang · 2024

  72. How Susceptible are Large Language Models to Ideological Manipulation?

    Kai Chen, Zihao He, Jun Yan, Taiwei Shi, Kristina Lerman · 2024

  73. ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs

    Fengqing Jiang, Zhangchen Xu, Luyao Niu, Zhen Xiang, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran · 2024

  74. SPML: A DSL for Defending Language Models Against Prompt Attacks

    Reshabh K Sharma, Vinayak Gupta, Dan Grossman · 2024

  75. An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

    Minghao Shao, Boyuan Chen, Sofija Jancheska, Brendan Dolan-Gavitt, Siddharth Garg, Ramesh Karri, Muhammad Shafique · 2024

  76. Do Large Language Models Understand Logic or Just Mimick Context?

    Junbing Yan, Chengyu Wang, Jun Huang, Wei Zhang · 2024

  77. Surprising Efficacy of Fine-Tuned Transformers for Fact-Checking over Larger Language Models

    Vinay Setty · 2024

  78. Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-Tuning

    Mingtian Zhang, Shawn Lan, Peter Hayes, David Barber · 2024

  79. On the Ocean Conditions of Hycean Worlds

    Frances E. Rigby, Nikku Madhusudhan · 2024

  80. LoRA+: Efficient Low Rank Adaptation of Large Models

    Soufiane Hayou, Nikhil Ghosh, Bin Yu · 2024

  81. FiT: Flexible Vision Transformer for Diffusion Model

    Zeyu Lu, Zidong Wang, Di Huang, Chengyue Wu, Xihui Liu, Wanli Ouyang, Lei Bai · 2024

  82. Turn Waste into Worth: Rectifying Top-$k$ Router of MoE

    Zhiyuan Zeng, Qipeng Guo, Zhaoye Fei, Zhangyue Yin, Yunhua Zhou, Linyang Li, Tianxiang Sun, Hang Yan, Dahua Lin, Xipeng Qiu · 2024

  83. ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation

    Zihao Tang, Zheqi Lv, Shengyu Zhang, Fei Wu, Kun Kuang · 2024

  84. Simulacra as Conscious Exotica

    Murray Shanahan · 2024

  85. Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?

    Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger · 2024

  86. TrustScore: Reference-Free Evaluation of LLM Response Trustworthiness

    Danna Zheng, Danyang Liu, Mirella Lapata, Jeff Z. Pan · 2024

  87. Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

    Zhiyuan Li, Hong Liu, Denny Zhou, Tengyu Ma · 2024

  88. GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick

    Jiayi Fu, Xuandong Zhao, Ruihan Yang, Yuansen Zhang, Jiangjie Chen, Yanghua Xiao · 2024

  89. Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

    Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei · 2024

  90. A Survey on Knowledge Distillation of Large Language Models

    Xiaohan Xu, Ming Li, Chongyang Tao, Tao Shen, Reynold Cheng, Jinyang Li, Can Xu, Dacheng Tao, Tianyi Zhou · 2024

  91. Neural Network Diffusion

    Kai Wang, Dongwen Tang, Boya Zeng, Yida Yin, Zhaopan Xu, Yukun Zhou, Zelin Zang, Trevor Darrell, Zhuang Liu, Yang You · 2024

  92. VideoPrism: A Foundational Visual Encoder for Video Understanding

    Long Zhao, Nitesh B. Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A. Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong · 2024

  93. TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization

    Liyan Tang, Igor Shalyminov, Amy Wing-mei Wong, Jon Burnsky, Jake W. Vincent, Yu'an Yang, Siffi Singh, Song Feng, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, Kathleen McKeown · 2024

  94. Mechanical detection of nuclear decays

    Jiaxiang Wang, T. W. Penny, Juan Recoaro, Benjamin Siegel, Yu-Han Tseng, David C. Moore · 2024

  95. College Basketball: An In-depth Study of the Foul Up 3 Dilemma

    Julian Zapata-Hall · 2024

  96. A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction

    Yinghao Li, Rampi Ramprasad, Chao Zhang · 2024

  97. Learning to Retrieve for Job Matching

    Jianqiang Shen, Yuchin Juan, Shaobo Zhang, Ping Liu, Wen Pu, Sriram Vasudevan, Qingquan Song, Fedor Borisyuk, Kay Qianqi Shen, Haichao Wei, Yunxiang Ren, Yeou S. Chiou, Sicong Kuang, Yuan Yin, Ben Zheng, Muchen Wu, Shaghayegh Gharghabi, Xiaoqing Wang, Huichao Xue, Qi Guo, Daniel Hewlett, Luke Simon, Liangjie Hong, Wenjing Zhang · 2024

  98. Large Language Models for Data Annotation and Synthesis: A Survey

    Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu · 2024

  99. Fractal scaling and the aesthetics of trees

    Jingyi Gao, Mitchell Newberry · 2024

  100. YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

    Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao · 2024