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Tung Phung, Victor-Alexandru Pădurean, José Cambronero +5 authors
Systematic evaluation of ChatGPT and GPT-4 in educational scenarios demonstrates GPT-4's superior performance over ChatGPT and identifies areas needing improvement.
George E. Dahl, Frank Schneider, Zachary Nado +22 authors
A new benchmark, AlgoPerf: Training Algorithms, addresses challenges in evaluating training algorithms by providing a competitive, time-to-result benchmark across workloads and optimizers.
Yujun Shi, Chuhui Xue, Jiachun Pan +3 authors
DragDiffusion extends interactive point-based image editing to diffusion models, offering precise spatial control and high-quality editing across diverse scenarios.
Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang +2 authors
GPT-4 demonstrates superior self-repair capabilities on APPS dataset compared to GPT-3.5, with performance boosted when feedback is provided by GPT-4 or human programmers.
Xiang Deng, Yu Gu, Boyuan Zheng +5 authors
Mind2Web, a dataset for generalist web agents, uses real-world websites and crowdsourced actions to improve LLM performance and generalizability.
Ruoxi Sun, Sercan O Arik, Hootan Nakhost +4 authors
SQL-PaLM, an LLM-based Text-to-SQL model, outperforms existing systems in few-shot learning and fine-tuning settings and demonstrates superior generalization on diverse variants of the Spider dataset.
Jifan Yu, Xiaozhi Wang, Shangqing Tu +32 authors
A benchmark for evaluating large language models emphasizes knowledge-related abilities, uses a mix of datasets, and incorporates self-contrast metrics to detect knowledge hallucination.
Hang Zhang, Xin Li, Lidong Bing
Video-LLaMA is a multi-modal framework that integrates visual and auditory understanding into LLMs by extending image encoders to video and aligning audio signals, achieving effective video-language correspondence.
Yaqi Zhang, Di Huang, Bin Liu +7 authors
MotionGPT generates realistic human motion using multimodal control signals by adapting a small portion of LLM parameters to handle unified input instructions.
Arno Candel, Jon McKinney, Philipp Singer +12 authors
h2oGPT provides open-source, fine-tuned LLMs based on Generative Pretrained Transformers with 100% private document search capabilities.
Zhengyu Huang, Haoran Xie, Tsukasa Fukusato +1 authors
A latent space exploration of StyleGAN is used for generating high-quality anime portraits from incomplete sketches with a stroke-level disentanglement approach.
Weizhi Wang, Li Dong, Hao Cheng +4 authors
A framework called LongMem enables large language models to utilize long-term memory, overcoming input length limitations and improving performance on long-context tasks.
Eric Nguyen, Michael Poli, Marjan Faizi +10 authors
HyenaDNA, a genomic foundation model based on implicit convolutions, achieves state-of-the-art performance on various benchmarks with longer context lengths, single nucleotide resolution, and fewer parameters.
Kaiyu Yang, Aidan M. Swope, Alex Gu +6 authors
LeanDojo provides open-source tools, data, and benchmarks to facilitate research on machine learning methods for theorem proving, introducing ReProver, an LLM-based prover that uses retrieval for premise selection.
Dani Valevski, Danny Wasserman, Yossi Matias +1 authors
A method to condition text-to-image generation models on face embeddings in real-time, enhancing generative capabilities and bias mitigation.
Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann
MLPs achieve competitive performance on vision tasks with large-scale pre-training, challenging the narrative that inductive bias is necessary for high accuracy.
Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav +15 authors
The HomeRobot OVMM benchmark evaluates robots' ability to manipulate unseen objects in new environments using a combination of simulated and real-world testing.
Nikos Kolotouros, Thiemo Alldieck, Andrei Zanfir +3 authors
DreamHuman generates realistic animatable 3D human avatars using text by integrating text-to-image synthesis, neural radiance fields, and statistical human body models.
Tiange Luo, Chris Rockwell, Honglak Lee +1 authors
Cap3D generates high-quality descriptive text for 3D objects using pretrained models and datasets, surpassing human performance in quality, cost, and speed.
Chaoning Zhang, Dongshen Han, Yu Qiao +4 authors
MobileSAM enhances the Segment Anything Model (SAM) for mobile devices by decoupling the image encoder and mask decoder to create a lightweight version that maintains performance while significantly reducing size and improving speed.
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