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2,306.15794 | HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide
Resolution | ['Eric Nguyen', 'Michael Poli', 'Marjan Faizi', 'Armin Thomas', 'Callum Birch-Sykes', 'Michael Wornow', 'Aman Patel', 'Clayton Rabideau', 'Stefano Massaroli', 'Yoshua Bengio', 'Stefano Ermon', 'Stephen A. Baccus', 'Chris Ré'] | ['cs.LG', 'q-bio.GN'] | Genomic (DNA) sequences encode an enormous amount of information for gene
regulation and protein synthesis. Similar to natural language models,
researchers have proposed foundation models in genomics to learn generalizable
features from unlabeled genome data that can then be fine-tuned for downstream
tasks such as iden... | 2023-06-27T20:46:34Z | NeurIPS 2023 (Spotlight) | null | null | null | null | null | null | null | null | null |
2,306.16092 | Chatlaw: A Multi-Agent Collaborative Legal Assistant with Knowledge
Graph Enhanced Mixture-of-Experts Large Language Model | ['Jiaxi Cui', 'Munan Ning', 'Zongjian Li', 'Bohua Chen', 'Yang Yan', 'Hao Li', 'Bin Ling', 'Yonghong Tian', 'Li Yuan'] | ['cs.CL'] | AI legal assistants based on Large Language Models (LLMs) can provide
accessible legal consulting services, but the hallucination problem poses
potential legal risks. This paper presents Chatlaw, an innovative legal
assistant utilizing a Mixture-of-Experts (MoE) model and a multi-agent system
to enhance the reliability... | 2023-06-28T10:48:34Z | null | null | null | null | null | null | null | null | null | null |
2,306.16527 | OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text
Documents | ['Hugo Laurençon', 'Lucile Saulnier', 'Léo Tronchon', 'Stas Bekman', 'Amanpreet Singh', 'Anton Lozhkov', 'Thomas Wang', 'Siddharth Karamcheti', 'Alexander M. Rush', 'Douwe Kiela', 'Matthieu Cord', 'Victor Sanh'] | ['cs.IR', 'cs.CV'] | Large multimodal models trained on natural documents, which interleave images
and text, outperform models trained on image-text pairs on various multimodal
benchmarks. However, the datasets used to train these models have not been
released, and the collection process has not been fully specified. We introduce
the OBELI... | 2023-06-21T14:01:01Z | null | null | null | OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents | ['Hugo Laurenccon', 'Lucile Saulnier', 'Léo Tronchon', 'Stas Bekman', 'Amanpreet Singh', 'Anton Lozhkov', 'Thomas Wang', 'Siddharth Karamcheti', 'Alexander M. Rush', 'Douwe Kiela', 'M. Cord', 'Victor Sanh'] | 2,023 | Neural Information Processing Systems | 246 | 211 | ['Computer Science'] |
2,306.16925 | MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained
on a Large-Scale Unannotated Dataset | ['Guotai Wang', 'Jianghao Wu', 'Xiangde Luo', 'Xinglong Liu', 'Kang Li', 'Shaoting Zhang'] | ['cs.CV'] | Pretraining with large-scale 3D volumes has a potential for improving the
segmentation performance on a target medical image dataset where the training
images and annotations are limited. Due to the high cost of acquiring
pixel-level segmentation annotations on the large-scale pretraining dataset,
pretraining with unan... | 2023-06-29T13:22:13Z | 13 pages, 8 figures | null | null | null | null | null | null | null | null | null |
2,306.16928 | One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape
Optimization | ['Minghua Liu', 'Chao Xu', 'Haian Jin', 'Linghao Chen', 'Mukund Varma T', 'Zexiang Xu', 'Hao Su'] | ['cs.CV', 'cs.AI', 'cs.RO'] | Single image 3D reconstruction is an important but challenging task that
requires extensive knowledge of our natural world. Many existing methods solve
this problem by optimizing a neural radiance field under the guidance of 2D
diffusion models but suffer from lengthy optimization time, 3D inconsistency
results, and po... | 2023-06-29T13:28:16Z | project website: one-2-3-45.com | null | null | null | null | null | null | null | null | null |
2,306.16962 | Speech-based Age and Gender Prediction with Transformers | ['Felix Burkhardt', 'Johannes Wagner', 'Hagen Wierstorf', 'Florian Eyben', 'Björn Schuller'] | ['cs.SD', 'eess.AS'] | We report on the curation of several publicly available datasets for age and
gender prediction. Furthermore, we present experiments to predict age and
gender with models based on a pre-trained wav2vec 2.0. Depending on the
dataset, we achieve an MAE between 7.1 years and 10.8 years for age, and at
least 91.1% ACC for g... | 2023-06-29T14:13:15Z | 5 pages, submitted to 15th ITG Conference on Speech Communication | null | null | Speech-based Age and Gender Prediction with Transformers | ['F. Burkhardt', 'Johannes Wagner', 'H. Wierstorf', 'F. Eyben', 'B. Schuller'] | 2,023 | arXiv.org | 16 | 34 | ['Computer Science', 'Engineering'] |
2,306.17107 | LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image
Understanding | ['Yanzhe Zhang', 'Ruiyi Zhang', 'Jiuxiang Gu', 'Yufan Zhou', 'Nedim Lipka', 'Diyi Yang', 'Tong Sun'] | ['cs.CV', 'cs.CL'] | Instruction tuning unlocks the superior capability of Large Language Models
(LLM) to interact with humans. Furthermore, recent instruction-following
datasets include images as visual inputs, collecting responses for image-based
instructions. However, visual instruction-tuned models cannot comprehend
textual details wit... | 2023-06-29T17:08:16Z | Preprint | null | null | null | null | null | null | null | null | null |
2,306.17115 | Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text
Aligned Latent Representation | ['Zibo Zhao', 'Wen Liu', 'Xin Chen', 'Xianfang Zeng', 'Rui Wang', 'Pei Cheng', 'Bin Fu', 'Tao Chen', 'Gang Yu', 'Shenghua Gao'] | ['cs.CV'] | We present a novel alignment-before-generation approach to tackle the
challenging task of generating general 3D shapes based on 2D images or texts.
Directly learning a conditional generative model from images or texts to 3D
shapes is prone to producing inconsistent results with the conditions because
3D shapes have an ... | 2023-06-29T17:17:57Z | Project Website: https://neuralcarver.github.io/michelangelo | null | null | Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation | ['Zibo Zhao', 'Wen Liu', 'Xin Chen', 'Xi Zeng', 'Rui Wang', 'Pei Cheng', 'Bin Fu', 'Tao Chen', 'Gang Yu', 'Shenghua Gao'] | 2,023 | Neural Information Processing Systems | 106 | 75 | ['Computer Science'] |
2,306.1714 | ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion
Models | ['Weihao Cheng', 'Yan-Pei Cao', 'Ying Shan'] | ['cs.CV'] | Given sparse views of a 3D object, estimating their camera poses is a
long-standing and intractable problem. Toward this goal, we consider harnessing
the pre-trained diffusion model of novel views conditioned on viewpoints
(Zero-1-to-3). We present ID-Pose which inverses the denoising diffusion
process to estimate the ... | 2023-06-29T17:41:41Z | Github: https://xt4d.github.io/id-pose-web/ | null | null | ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models | ['Weihao Cheng', 'Yan-Pei Cao', 'Ying Shan'] | 2,023 | arXiv.org | 6 | 39 | ['Computer Science'] |
2,306.17194 | On the Exploitability of Instruction Tuning | ['Manli Shu', 'Jiongxiao Wang', 'Chen Zhu', 'Jonas Geiping', 'Chaowei Xiao', 'Tom Goldstein'] | ['cs.CR', 'cs.CL', 'cs.LG'] | Instruction tuning is an effective technique to align large language models
(LLMs) with human intents. In this work, we investigate how an adversary can
exploit instruction tuning by injecting specific instruction-following examples
into the training data that intentionally changes the model's behavior. For
example, an... | 2023-06-28T17:54:04Z | NeurIPS 2023 camera-ready (21 pages, 10 figures) | null | null | null | null | null | null | null | null | null |
2,306.17203 | Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion
Models | ['Simian Luo', 'Chuanhao Yan', 'Chenxu Hu', 'Hang Zhao'] | ['cs.SD', 'cs.CV', 'cs.LG', 'eess.AS'] | The Video-to-Audio (V2A) model has recently gained attention for its
practical application in generating audio directly from silent videos,
particularly in video/film production. However, previous methods in V2A have
limited generation quality in terms of temporal synchronization and
audio-visual relevance. We present ... | 2023-06-29T12:39:58Z | null | null | null | null | null | null | null | null | null | null |
2,306.17439 | Provable Robust Watermarking for AI-Generated Text | ['Xuandong Zhao', 'Prabhanjan Ananth', 'Lei Li', 'Yu-Xiang Wang'] | ['cs.CL', 'cs.LG'] | We study the problem of watermarking large language models (LLMs) generated
text -- one of the most promising approaches for addressing the safety
challenges of LLM usage. In this paper, we propose a rigorous theoretical
framework to quantify the effectiveness and robustness of LLM watermarks. We
propose a robust and h... | 2023-06-30T07:24:32Z | null | null | null | Provable Robust Watermarking for AI-Generated Text | ['Xuandong Zhao', 'P. Ananth', 'Lei Li', 'Yu-Xiang Wang'] | 2,023 | International Conference on Learning Representations | 187 | 59 | ['Computer Science'] |
2,306.17492 | Preference Ranking Optimization for Human Alignment | ['Feifan Song', 'Bowen Yu', 'Minghao Li', 'Haiyang Yu', 'Fei Huang', 'Yongbin Li', 'Houfeng Wang'] | ['cs.CL', 'cs.AI'] | Large language models (LLMs) often contain misleading content, emphasizing
the need to align them with human values to ensure secure AI systems.
Reinforcement learning from human feedback (RLHF) has been employed to achieve
this alignment. However, it encompasses two main drawbacks: (1) RLHF exhibits
complexity, instab... | 2023-06-30T09:07:37Z | Accepted by AAAI 2024 | null | null | null | null | null | null | null | null | null |
2,306.17649 | Biomedical Language Models are Robust to Sub-optimal Tokenization | ['Bernal Jiménez Gutiérrez', 'Huan Sun', 'Yu Su'] | ['cs.CL'] | As opposed to general English, many concepts in biomedical terminology have
been designed in recent history by biomedical professionals with the goal of
being precise and concise. This is often achieved by concatenating meaningful
biomedical morphemes to create new semantic units. Nevertheless, most modern
biomedical l... | 2023-06-30T13:35:24Z | BioNLP @ ACL 2023 | null | null | Biomedical Language Models are Robust to Sub-optimal Tokenization | ['Bernal Jimenez Gutierrez', 'Huan Sun', 'Yu Su'] | 2,023 | Workshop on Biomedical Natural Language Processing | 7 | 49 | ['Computer Science'] |
2,306.17806 | Stay on topic with Classifier-Free Guidance | ['Guillaume Sanchez', 'Honglu Fan', 'Alexander Spangher', 'Elad Levi', 'Pawan Sasanka Ammanamanchi', 'Stella Biderman'] | ['cs.CL', 'cs.CV', 'cs.LG'] | Classifier-Free Guidance (CFG) has recently emerged in text-to-image
generation as a lightweight technique to encourage prompt-adherence in
generations. In this work, we demonstrate that CFG can be used broadly as an
inference-time technique in pure language modeling. We show that CFG (1)
improves the performance of Py... | 2023-06-30T17:07:02Z | null | null | null | null | null | null | null | null | null | null |
2,307.00149 | Hierarchical Neural Coding for Controllable CAD Model Generation | ['Xiang Xu', 'Pradeep Kumar Jayaraman', 'Joseph G. Lambourne', 'Karl D. D. Willis', 'Yasutaka Furukawa'] | ['cs.CV', 'cs.LG'] | This paper presents a novel generative model for Computer Aided Design (CAD)
that 1) represents high-level design concepts of a CAD model as a three-level
hierarchical tree of neural codes, from global part arrangement down to local
curve geometry; and 2) controls the generation or completion of CAD models by
specifyin... | 2023-06-30T21:49:41Z | Accepted to ICML 2023. Project website at https://hnc-cad.github.io/ | null | null | null | null | null | null | null | null | null |
2,307.0036 | BatGPT: A Bidirectional Autoregessive Talker from Generative Pre-trained
Transformer | ['Zuchao Li', 'Shitou Zhang', 'Hai Zhao', 'Yifei Yang', 'Dongjie Yang'] | ['cs.CL'] | BatGPT is a large-scale language model designed and trained jointly by Wuhan
University and Shanghai Jiao Tong University. It is capable of generating
highly natural and fluent text in response to various types of input, including
text prompts, images, and audio. In the modeling level, we employ a
bidirectional autoreg... | 2023-07-01T15:10:01Z | null | null | null | null | null | null | null | null | null | null |
2,307.00476 | Pricing European Options with Google AutoML, TensorFlow, and XGBoost | ['Juan Esteban Berger'] | ['q-fin.PR', 'cs.LG'] | Researchers have been using Neural Networks and other related
machine-learning techniques to price options since the early 1990s. After three
decades of improvements in machine learning techniques, computational
processing power, cloud computing, and data availability, this paper is able to
provide a comparison of usin... | 2023-07-02T05:12:06Z | null | null | null | null | null | null | null | null | null | null |
2,307.00589 | MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed
Search Logs for Zero-shot Biomedical Information Retrieval | ['Qiao Jin', 'Won Kim', 'Qingyu Chen', 'Donald C. Comeau', 'Lana Yeganova', 'W. John Wilbur', 'Zhiyong Lu'] | ['cs.IR', 'cs.AI', 'cs.CL', 'q-bio.QM'] | Information retrieval (IR) is essential in biomedical knowledge acquisition
and clinical decision support. While recent progress has shown that language
model encoders perform better semantic retrieval, training such models requires
abundant query-article annotations that are difficult to obtain in biomedicine.
As a re... | 2023-07-02T15:11:59Z | The MedCPT code and API are available at
https://github.com/ncbi/MedCPT | null | 10.1093/bioinformatics/btad651 | BioCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval | ['Qiao Jin', 'Won Kim', 'Qingyu Chen', 'Donald C. Comeau', 'Lana Yeganova', 'John Wilbur', 'Zhiyong Lu'] | 2,023 | Bioinform. | 118 | 84 | ['Computer Science', 'Biology', 'Medicine'] |
2,307.00764 | Hierarchical Open-vocabulary Universal Image Segmentation | ['Xudong Wang', 'Shufan Li', 'Konstantinos Kallidromitis', 'Yusuke Kato', 'Kazuki Kozuka', 'Trevor Darrell'] | ['cs.CV', 'cs.AI', 'cs.LG'] | Open-vocabulary image segmentation aims to partition an image into semantic
regions according to arbitrary text descriptions. However, complex visual
scenes can be naturally decomposed into simpler parts and abstracted at
multiple levels of granularity, introducing inherent segmentation ambiguity.
Unlike existing metho... | 2023-07-03T06:02:15Z | Project web-page:
http://people.eecs.berkeley.edu/~xdwang/projects/HIPIE/; NeurIPS 2023
Camera-ready | null | null | null | null | null | null | null | null | null |
2,307.01387 | ALBERTI, a Multilingual Domain Specific Language Model for Poetry
Analysis | ['Javier de la Rosa', 'Álvaro Pérez Pozo', 'Salvador Ros', 'Elena González-Blanco'] | ['cs.CL'] | The computational analysis of poetry is limited by the scarcity of tools to
automatically analyze and scan poems. In a multilingual settings, the problem
is exacerbated as scansion and rhyme systems only exist for individual
languages, making comparative studies very challenging and time consuming. In
this work, we pre... | 2023-07-03T22:50:53Z | Accepted for publication at SEPLN 2023: 39th International Conference
of the Spanish Society for Natural Language Processing | null | null | ALBERTI, a Multilingual Domain Specific Language Model for Poetry Analysis | ['Javier de la Rosa', 'Álvaro Pérez Pozo', 'Salvador Ros', 'E. González-Blanco'] | 2,023 | Proces. del Leng. Natural | 7 | 34 | ['Computer Science'] |
2,307.01672 | Boosting Norwegian Automatic Speech Recognition | ['Javier de la Rosa', 'Rolv-Arild Braaten', 'Per Egil Kummervold', 'Freddy Wetjen', 'Svein Arne Brygfjeld'] | ['cs.CL'] | In this paper, we present several baselines for automatic speech recognition
(ASR) models for the two official written languages in Norway: Bokm{\aa}l and
Nynorsk. We compare the performance of models of varying sizes and pre-training
approaches on multiple Norwegian speech datasets. Additionally, we measure the
perfor... | 2023-07-04T12:05:15Z | 10 pages, 10 figures. Published as Proceedings NoDaLiDa 2023, pages
555--564 | 2023. Boosting Norwegian Automatic Speech Recognition. In
Proceedings of the 24th Nordic Conference on Computational Linguistics
(NoDaLiDa), pages 555--564, T\'orshavn, Faroe Islands. University of Tartu
Library | null | null | null | null | null | null | null | null |
2,307.0168 | Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical
Evaluation | ['Dimosthenis Antypas', 'Jose Camacho-Collados'] | ['cs.CL', 'I.2.7'] | The automatic detection of hate speech online is an active research area in
NLP. Most of the studies to date are based on social media datasets that
contribute to the creation of hate speech detection models trained on them.
However, data creation processes contain their own biases, and models
inherently learn from the... | 2023-07-04T12:22:40Z | Accepted in "Workshop on Online Abuse and Harms (WOAH)", 2023 | null | null | null | null | null | null | null | null | null |
2,307.01849 | Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via
Self-supervised Learning | ['Xiang Li', 'Varun Belagali', 'Jinghuan Shang', 'Michael S. Ryoo'] | ['cs.RO', 'cs.CV', 'cs.LG'] | Sequence modeling approaches have shown promising results in robot imitation
learning. Recently, diffusion models have been adopted for behavioral cloning
in a sequence modeling fashion, benefiting from their exceptional capabilities
in modeling complex data distributions. The standard diffusion-based policy
iterativel... | 2023-07-04T17:59:29Z | 15 pages, 13 figures. Code, pretrained checkpoints, and datasets are
available at https://github.com/LostXine/crossway_diffusion Video demo is at
https://youtu.be/9deKHueZBuk | null | null | null | null | null | null | null | null | null |
2,307.01952 | SDXL: Improving Latent Diffusion Models for High-Resolution Image
Synthesis | ['Dustin Podell', 'Zion English', 'Kyle Lacey', 'Andreas Blattmann', 'Tim Dockhorn', 'Jonas Müller', 'Joe Penna', 'Robin Rombach'] | ['cs.CV', 'cs.AI'] | We present SDXL, a latent diffusion model for text-to-image synthesis.
Compared to previous versions of Stable Diffusion, SDXL leverages a three times
larger UNet backbone: The increase of model parameters is mainly due to more
attention blocks and a larger cross-attention context as SDXL uses a second
text encoder. We... | 2023-07-04T23:04:57Z | null | null | null | null | null | null | null | null | null | null |
2,307.02028 | EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models | ['Michael Wornow', 'Rahul Thapa', 'Ethan Steinberg', 'Jason A. Fries', 'Nigam H. Shah'] | ['cs.LG', 'cs.AI', 'cs.CL'] | While the general machine learning (ML) community has benefited from public
datasets, tasks, and models, the progress of ML in healthcare has been hampered
by a lack of such shared assets. The success of foundation models creates new
challenges for healthcare ML by requiring access to shared pretrained models to
valida... | 2023-07-05T05:24:59Z | null | null | null | null | null | null | null | null | null | null |
2,307.02047 | CAME: Confidence-guided Adaptive Memory Efficient Optimization | ['Yang Luo', 'Xiaozhe Ren', 'Zangwei Zheng', 'Zhuo Jiang', 'Xin Jiang', 'Yang You'] | ['cs.CL'] | Adaptive gradient methods, such as Adam and LAMB, have demonstrated excellent
performance in the training of large language models. Nevertheless, the need
for adaptivity requires maintaining second-moment estimates of the
per-parameter gradients, which entails a high cost of extra memory overheads.
To solve this proble... | 2023-07-05T06:05:36Z | Accepted by ACL 2023 | null | null | null | null | null | null | null | null | null |
2,307.02053 | Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN
Fine-Tuning | ['Deepanway Ghosal', 'Yew Ken Chia', 'Navonil Majumder', 'Soujanya Poria'] | ['cs.CL'] | Recently, the release of INSTRUCTEVAL has provided valuable insights into the
performance of large language models (LLMs) that utilize encoder-decoder or
decoder-only architecture. Interestingly, despite being introduced four years
ago, T5-based LLMs, such as FLAN-T5, continue to outperform the latest
decoder-based LLM... | 2023-07-05T06:36:54Z | null | null | null | null | null | null | null | null | null | null |
2,307.02421 | DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models | ['Chong Mou', 'Xintao Wang', 'Jiechong Song', 'Ying Shan', 'Jian Zhang'] | ['cs.CV'] | Despite the ability of existing large-scale text-to-image (T2I) models to
generate high-quality images from detailed textual descriptions, they often
lack the ability to precisely edit the generated or real images. In this paper,
we propose a novel image editing method, DragonDiffusion, enabling Drag-style
manipulation... | 2023-07-05T16:43:56Z | null | null | null | null | null | null | null | null | null | null |
2,307.02486 | LongNet: Scaling Transformers to 1,000,000,000 Tokens | ['Jiayu Ding', 'Shuming Ma', 'Li Dong', 'Xingxing Zhang', 'Shaohan Huang', 'Wenhui Wang', 'Nanning Zheng', 'Furu Wei'] | ['cs.CL', 'cs.LG'] | Scaling sequence length has become a critical demand in the era of large
language models. However, existing methods struggle with either computational
complexity or model expressivity, rendering the maximum sequence length
restricted. To address this issue, we introduce LongNet, a Transformer variant
that can scale seq... | 2023-07-05T17:59:38Z | Work in progress | null | null | null | null | null | null | null | null | null |
2,307.03109 | A Survey on Evaluation of Large Language Models | ['Yupeng Chang', 'Xu Wang', 'Jindong Wang', 'Yuan Wu', 'Linyi Yang', 'Kaijie Zhu', 'Hao Chen', 'Xiaoyuan Yi', 'Cunxiang Wang', 'Yidong Wang', 'Wei Ye', 'Yue Zhang', 'Yi Chang', 'Philip S. Yu', 'Qiang Yang', 'Xing Xie'] | ['cs.CL', 'cs.AI'] | Large language models (LLMs) are gaining increasing popularity in both
academia and industry, owing to their unprecedented performance in various
applications. As LLMs continue to play a vital role in both research and daily
use, their evaluation becomes increasingly critical, not only at the task
level, but also at th... | 2023-07-06T16:28:35Z | Accepted by ACM Transactions on Intelligent Systems and Technology
(TIST); 45 pages; More recent works; https://llm-eval.github.io/ | null | null | A Survey on Evaluation of Large Language Models | ['Yu-Chu Chang', 'Xu Wang', 'Jindong Wang', 'Yuan Wu', 'Kaijie Zhu', 'Hao Chen', 'Linyi Yang', 'Xiaoyuan Yi', 'Cunxiang Wang', 'Yidong Wang', 'Weirong Ye', 'Yue Zhang', 'Yi Chang', 'Philip S. Yu', 'Qian Yang', 'Xingxu Xie'] | 2,023 | ACM Transactions on Intelligent Systems and Technology | 1,773 | 306 | ['Computer Science'] |
2,307.0317 | Focused Transformer: Contrastive Training for Context Scaling | ['Szymon Tworkowski', 'Konrad Staniszewski', 'Mikołaj Pacek', 'Yuhuai Wu', 'Henryk Michalewski', 'Piotr Miłoś'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Large language models have an exceptional capability to incorporate new
information in a contextual manner. However, the full potential of such an
approach is often restrained due to a limitation in the effective context
length. One solution to this issue is to endow an attention layer with access
to an external memory... | 2023-07-06T17:52:10Z | Accepted at 37th Conference on Neural Information Processing Systems
(NeurIPS 2023). 28 pages, 10 figures, 11 tables | null | null | null | null | null | null | null | null | null |
2,307.03172 | Lost in the Middle: How Language Models Use Long Contexts | ['Nelson F. Liu', 'Kevin Lin', 'John Hewitt', 'Ashwin Paranjape', 'Michele Bevilacqua', 'Fabio Petroni', 'Percy Liang'] | ['cs.CL'] | While recent language models have the ability to take long contexts as input,
relatively little is known about how well they use longer context. We analyze
the performance of language models on two tasks that require identifying
relevant information in their input contexts: multi-document question answering
and key-val... | 2023-07-06T17:54:11Z | 18 pages, 16 figures. Accepted for publication in Transactions of the
Association for Computational Linguistics (TACL), 2023 | null | null | Lost in the Middle: How Language Models Use Long Contexts | ['Nelson F. Liu', 'Kevin Lin', 'John Hewitt', 'Ashwin Paranjape', 'Michele Bevilacqua', 'F. Petroni', 'Percy Liang'] | 2,023 | Transactions of the Association for Computational Linguistics | 1,664 | 58 | ['Computer Science'] |
2,307.03838 | RADAR: Robust AI-Text Detection via Adversarial Learning | ['Xiaomeng Hu', 'Pin-Yu Chen', 'Tsung-Yi Ho'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Recent advances in large language models (LLMs) and the intensifying
popularity of ChatGPT-like applications have blurred the boundary of
high-quality text generation between humans and machines. However, in addition
to the anticipated revolutionary changes to our technology and society, the
difficulty of distinguishin... | 2023-07-07T21:13:27Z | Accepted by NeurIPS 2023. Project page and demos:
https://radar.vizhub.ai | null | null | RADAR: Robust AI-Text Detection via Adversarial Learning | ['Xiaomeng Hu', 'Pin-Yu Chen', 'Tsung-Yi Ho'] | 2,023 | Neural Information Processing Systems | 128 | 36 | ['Computer Science'] |
2,307.04616 | MiVOLO: Multi-input Transformer for Age and Gender Estimation | ['Maksim Kuprashevich', 'Irina Tolstykh'] | ['cs.CV', 'cs.AI', 'cs.LG', 'I.2.0; I.4.0; I.4.9'] | Age and gender recognition in the wild is a highly challenging task: apart
from the variability of conditions, pose complexities, and varying image
quality, there are cases where the face is partially or completely occluded. We
present MiVOLO (Multi Input VOLO), a straightforward approach for age and
gender estimation ... | 2023-07-10T14:58:10Z | For the project repository, please visit:
https://github.com/WildChlamydia/MiVOLO | null | null | null | null | null | null | null | null | null |
2,307.04657 | BeaverTails: Towards Improved Safety Alignment of LLM via a
Human-Preference Dataset | ['Jiaming Ji', 'Mickel Liu', 'Juntao Dai', 'Xuehai Pan', 'Chi Zhang', 'Ce Bian', 'Chi Zhang', 'Ruiyang Sun', 'Yizhou Wang', 'Yaodong Yang'] | ['cs.CL'] | In this paper, we introduce the BeaverTails dataset, aimed at fostering
research on safety alignment in large language models (LLMs). This dataset
uniquely separates annotations of helpfulness and harmlessness for
question-answering pairs, thus offering distinct perspectives on these crucial
attributes. In total, we ha... | 2023-07-10T15:56:17Z | Published at NeurIPS 2023 | null | null | null | null | null | null | null | null | null |
2,307.04725 | AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models
without Specific Tuning | ['Yuwei Guo', 'Ceyuan Yang', 'Anyi Rao', 'Zhengyang Liang', 'Yaohui Wang', 'Yu Qiao', 'Maneesh Agrawala', 'Dahua Lin', 'Bo Dai'] | ['cs.CV', 'cs.GR', 'cs.LG'] | With the advance of text-to-image (T2I) diffusion models (e.g., Stable
Diffusion) and corresponding personalization techniques such as DreamBooth and
LoRA, everyone can manifest their imagination into high-quality images at an
affordable cost. However, adding motion dynamics to existing high-quality
personalized T2Is a... | 2023-07-10T17:34:16Z | Codes and Supplementary Material:
https://github.com/guoyww/AnimateDiff | null | null | AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning | ['Yuwei Guo', 'Ceyuan Yang', 'Anyi Rao', 'Yaohui Wang', 'Y. Qiao', 'Dahua Lin', 'Bo Dai'] | 2,023 | International Conference on Learning Representations | 883 | 59 | ['Computer Science'] |
2,307.04964 | Secrets of RLHF in Large Language Models Part I: PPO | ['Rui Zheng', 'Shihan Dou', 'Songyang Gao', 'Yuan Hua', 'Wei Shen', 'Binghai Wang', 'Yan Liu', 'Senjie Jin', 'Qin Liu', 'Yuhao Zhou', 'Limao Xiong', 'Lu Chen', 'Zhiheng Xi', 'Nuo Xu', 'Wenbin Lai', 'Minghao Zhu', 'Cheng Chang', 'Zhangyue Yin', 'Rongxiang Weng', 'Wensen Cheng', 'Haoran Huang', 'Tianxiang Sun', 'Hang Yan... | ['cs.CL', 'cs.AI', 'cs.LG'] | Large language models (LLMs) have formulated a blueprint for the advancement
of artificial general intelligence. Its primary objective is to function as a
human-centric (helpful, honest, and harmless) assistant. Alignment with humans
assumes paramount significance, and reinforcement learning with human feedback
(RLHF) ... | 2023-07-11T01:55:24Z | null | null | null | null | null | null | null | null | null | null |
2,307.05222 | Emu: Generative Pretraining in Multimodality | ['Quan Sun', 'Qiying Yu', 'Yufeng Cui', 'Fan Zhang', 'Xiaosong Zhang', 'Yueze Wang', 'Hongcheng Gao', 'Jingjing Liu', 'Tiejun Huang', 'Xinlong Wang'] | ['cs.CV'] | We present Emu, a Transformer-based multimodal foundation model, which can
seamlessly generate images and texts in multimodal context. This omnivore model
can take in any single-modality or multimodal data input indiscriminately
(e.g., interleaved image, text and video) through a one-model-for-all
autoregressive traini... | 2023-07-11T12:45:39Z | Accepted to ICLR 2024. Code and Models:
https://github.com/baaivision/Emu | null | null | Generative Pretraining in Multimodality | ['Quan Sun', 'Qiying Yu', 'Yufeng Cui', 'Fan Zhang', 'Xiaosong Zhang', 'Yueze Wang', 'Hongcheng Gao', 'Jingjing Liu', 'Tiejun Huang', 'Xinlong Wang'] | 2,023 | International Conference on Learning Representations | 138 | 89 | ['Computer Science'] |
2,307.06018 | PolyLM: An Open Source Polyglot Large Language Model | ['Xiangpeng Wei', 'Haoran Wei', 'Huan Lin', 'Tianhao Li', 'Pei Zhang', 'Xingzhang Ren', 'Mei Li', 'Yu Wan', 'Zhiwei Cao', 'Binbin Xie', 'Tianxiang Hu', 'Shangjie Li', 'Binyuan Hui', 'Bowen Yu', 'Dayiheng Liu', 'Baosong Yang', 'Fei Huang', 'Jun Xie'] | ['cs.CL'] | Large language models (LLMs) demonstrate remarkable ability to comprehend,
reason, and generate following nature language instructions. However, the
development of LLMs has been primarily focused on high-resource languages, such
as English, thereby limiting their applicability and research in other
languages. Consequen... | 2023-07-12T09:00:37Z | null | null | null | null | null | null | null | null | null | null |
2,307.06281 | MMBench: Is Your Multi-modal Model an All-around Player? | ['Yuan Liu', 'Haodong Duan', 'Yuanhan Zhang', 'Bo Li', 'Songyang Zhang', 'Wangbo Zhao', 'Yike Yuan', 'Jiaqi Wang', 'Conghui He', 'Ziwei Liu', 'Kai Chen', 'Dahua Lin'] | ['cs.CV', 'cs.CL'] | Large vision-language models (VLMs) have recently achieved remarkable
progress, exhibiting impressive multimodal perception and reasoning abilities.
However, effectively evaluating these large VLMs remains a major challenge,
hindering future development in this domain. Traditional benchmarks like VQAv2
or COCO Caption ... | 2023-07-12T16:23:09Z | Accepted in ECCV2024 as Oral Presentation | null | null | MMBench: Is Your Multi-modal Model an All-around Player? | ['Yuanzhan Liu', 'Haodong Duan', 'Yuanhan Zhang', 'Bo Li', 'Songyang Zhang', 'Wangbo Zhao', 'Yike Yuan', 'Jiaqi Wang', 'Conghui He', 'Ziwei Liu', 'Kai Chen', 'Dahua Lin'] | 2,023 | European Conference on Computer Vision | 1,060 | 71 | ['Computer Science'] |
2,307.06304 | Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and
Resolution | ['Mostafa Dehghani', 'Basil Mustafa', 'Josip Djolonga', 'Jonathan Heek', 'Matthias Minderer', 'Mathilde Caron', 'Andreas Steiner', 'Joan Puigcerver', 'Robert Geirhos', 'Ibrahim Alabdulmohsin', 'Avital Oliver', 'Piotr Padlewski', 'Alexey Gritsenko', 'Mario Lučić', 'Neil Houlsby'] | ['cs.CV', 'cs.AI', 'cs.LG'] | The ubiquitous and demonstrably suboptimal choice of resizing images to a
fixed resolution before processing them with computer vision models has not yet
been successfully challenged. However, models such as the Vision Transformer
(ViT) offer flexible sequence-based modeling, and hence varying input sequence
lengths. W... | 2023-07-12T17:01:03Z | null | null | null | null | null | null | null | null | null | null |
2,307.0693 | mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs | ['Gregor Geigle', 'Abhay Jain', 'Radu Timofte', 'Goran Glavaš'] | ['cs.CV', 'cs.CL'] | Modular vision-language models (Vision-LLMs) align pretrained image encoders
with (frozen) large language models (LLMs) and post-hoc condition LLMs to
`understand' the image input. With the abundance of readily available
high-quality English image-text data as well as strong monolingual English
LLMs, the research focus... | 2023-07-13T17:51:58Z | ALVR Workshop 2024 | null | null | null | null | null | null | null | null | null |
2,307.06942 | InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding
and Generation | ['Yi Wang', 'Yinan He', 'Yizhuo Li', 'Kunchang Li', 'Jiashuo Yu', 'Xin Ma', 'Xinhao Li', 'Guo Chen', 'Xinyuan Chen', 'Yaohui Wang', 'Conghui He', 'Ping Luo', 'Ziwei Liu', 'Yali Wang', 'Limin Wang', 'Yu Qiao'] | ['cs.CV'] | This paper introduces InternVid, a large-scale video-centric multimodal
dataset that enables learning powerful and transferable video-text
representations for multimodal understanding and generation. The InternVid
dataset contains over 7 million videos lasting nearly 760K hours, yielding 234M
video clips accompanied by... | 2023-07-13T17:58:32Z | Data and Code:
https://github.com/OpenGVLab/InternVideo/tree/main/Data/InternVid | null | null | InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation | ['Yi Wang', 'Yinan He', 'Yizhuo Li', 'Kunchang Li', 'Jiashuo Yu', 'X. Ma', 'Xinyuan Chen', 'Yaohui Wang', 'Ping Luo', 'Ziwei Liu', 'Yali Wang', 'Limin Wang', 'Y. Qiao'] | 2,023 | International Conference on Learning Representations | 276 | 84 | ['Computer Science'] |
2,307.06948 | Self-regulating Prompts: Foundational Model Adaptation without
Forgetting | ['Muhammad Uzair Khattak', 'Syed Talal Wasim', 'Muzammal Naseer', 'Salman Khan', 'Ming-Hsuan Yang', 'Fahad Shahbaz Khan'] | ['cs.CV'] | Prompt learning has emerged as an efficient alternative for fine-tuning
foundational models, such as CLIP, for various downstream tasks. Conventionally
trained using the task-specific objective, i.e., cross-entropy loss, prompts
tend to overfit downstream data distributions and find it challenging to
capture task-agnos... | 2023-07-13T17:59:35Z | Accepted to ICCV-2023. Camera-Ready version. Project page:
https://muzairkhattak.github.io/PromptSRC/ | null | null | Self-regulating Prompts: Foundational Model Adaptation without Forgetting | ['Muhammad Uzair Khattak', 'Syed Talal Wasim', 'Muzammal Naseer', 'Salman Siddique Khan', 'Ming Yang', 'F. Khan'] | 2,023 | IEEE International Conference on Computer Vision | 189 | 66 | ['Computer Science'] |
2,307.06979 | Tackling Fake News in Bengali: Unraveling the Impact of Summarization
vs. Augmentation on Pre-trained Language Models | ['Arman Sakif Chowdhury', 'G. M. Shahariar', 'Ahammed Tarik Aziz', 'Syed Mohibul Alam', 'Md. Azad Sheikh', 'Tanveer Ahmed Belal'] | ['cs.CL'] | With the rise of social media and online news sources, fake news has become a
significant issue globally. However, the detection of fake news in low resource
languages like Bengali has received limited attention in research. In this
paper, we propose a methodology consisting of four distinct approaches to
classify fake... | 2023-07-13T14:50:55Z | Under Review | null | null | null | null | null | null | null | null | null |
2,307.07057 | Leveraging Pretrained ASR Encoders for Effective and Efficient
End-to-End Speech Intent Classification and Slot Filling | ['He Huang', 'Jagadeesh Balam', 'Boris Ginsburg'] | ['cs.CL', 'cs.CV', 'cs.SD', 'eess.AS'] | We study speech intent classification and slot filling (SICSF) by proposing
to use an encoder pretrained on speech recognition (ASR) to initialize an
end-to-end (E2E) Conformer-Transformer model, which achieves the new
state-of-the-art results on the SLURP dataset, with 90.14% intent accuracy and
82.27% SLURP-F1. We co... | 2023-07-13T20:50:19Z | INTERSPEECH 2023 | null | null | null | null | null | null | null | null | null |
2,307.07176 | SafeDreamer: Safe Reinforcement Learning with World Models | ['Weidong Huang', 'Jiaming Ji', 'Chunhe Xia', 'Borong Zhang', 'Yaodong Yang'] | ['cs.LG', 'cs.AI', 'cs.CV'] | The deployment of Reinforcement Learning (RL) in real-world applications is
constrained by its failure to satisfy safety criteria. Existing Safe
Reinforcement Learning (SafeRL) methods, which rely on cost functions to
enforce safety, often fail to achieve zero-cost performance in complex
scenarios, especially vision-on... | 2023-07-14T06:00:08Z | ICLR 2024 | null | null | SafeDreamer: Safe Reinforcement Learning with World Models | ['Weidong Huang', 'Jiaming Ji', 'Chunhe Xia', 'Borong Zhang', 'Yao-Chun Yang'] | 2,023 | International Conference on Learning Representations | 19 | 60 | ['Computer Science'] |
2,307.07331 | How Different Is Stereotypical Bias Across Languages? | ['Ibrahim Tolga Öztürk', 'Rostislav Nedelchev', 'Christian Heumann', 'Esteban Garces Arias', 'Marius Roger', 'Bernd Bischl', 'Matthias Aßenmacher'] | ['cs.CL', 'cs.CY', 'cs.LG', 'stat.ML'] | Recent studies have demonstrated how to assess the stereotypical bias in
pre-trained English language models. In this work, we extend this branch of
research in multiple different dimensions by systematically investigating (a)
mono- and multilingual models of (b) different underlying architectures with
respect to their... | 2023-07-14T13:17:11Z | Accepted @ "3rd Workshop on Bias and Fairness in AI" (co-located with
ECML PKDD 2023). This is the author's version of the work. The definite
version of record will be published in the proceedings | null | null | null | null | null | null | null | null | null |
2,307.07469 | Interactive Spatiotemporal Token Attention Network for Skeleton-based
General Interactive Action Recognition | ['Yuhang Wen', 'Zixuan Tang', 'Yunsheng Pang', 'Beichen Ding', 'Mengyuan Liu'] | ['cs.CV', 'cs.AI', 'cs.RO'] | Recognizing interactive action plays an important role in human-robot
interaction and collaboration. Previous methods use late fusion and
co-attention mechanism to capture interactive relations, which have limited
learning capability or inefficiency to adapt to more interacting entities. With
assumption that priors of ... | 2023-07-14T16:51:25Z | IROS 2023 Camera-ready version. Project website:
https://necolizer.github.io/ISTA-Net/ | null | 10.1109/IROS55552.2023.10342472 | null | null | null | null | null | null | null |
2,307.07635 | CoTracker: It is Better to Track Together | ['Nikita Karaev', 'Ignacio Rocco', 'Benjamin Graham', 'Natalia Neverova', 'Andrea Vedaldi', 'Christian Rupprecht'] | ['cs.CV'] | We introduce CoTracker, a transformer-based model that tracks a large number
of 2D points in long video sequences. Differently from most existing approaches
that track points independently, CoTracker tracks them jointly, accounting for
their dependencies. We show that joint tracking significantly improves tracking
accu... | 2023-07-14T21:13:04Z | Code and model weights are available at:
https://co-tracker.github.io/ | null | null | CoTracker: It is Better to Track Together | ['Nikita Karaev', 'Ignacio Rocco', 'Benjamin Graham', 'N. Neverova', 'A. Vedaldi', 'C. Rupprecht'] | 2,023 | European Conference on Computer Vision | 271 | 72 | ['Computer Science'] |
2,307.08041 | Planting a SEED of Vision in Large Language Model | ['Yuying Ge', 'Yixiao Ge', 'Ziyun Zeng', 'Xintao Wang', 'Ying Shan'] | ['cs.CV'] | We present SEED, an elaborate image tokenizer that empowers Large Language
Models (LLMs) with the emergent ability to SEE and Draw at the same time.
Research on image tokenizers has previously reached an impasse, as frameworks
employing quantized visual tokens have lost prominence due to subpar
performance and converge... | 2023-07-16T13:41:39Z | Technical Report; Project released at:
https://github.com/AILab-CVC/SEED | null | null | null | null | null | null | null | null | null |
2,307.08309 | LogPrécis: Unleashing Language Models for Automated Malicious Log
Analysis | ['Matteo Boffa', 'Rodolfo Vieira Valentim', 'Luca Vassio', 'Danilo Giordano', 'Idilio Drago', 'Marco Mellia', 'Zied Ben Houidi'] | ['cs.CR', 'cs.AI', 'cs.NI'] | The collection of security-related logs holds the key to understanding attack
behaviors and diagnosing vulnerabilities. Still, their analysis remains a
daunting challenge. Recently, Language Models (LMs) have demonstrated unmatched
potential in understanding natural and programming languages. The question
arises whethe... | 2023-07-17T08:09:40Z | 18 pages, Computer&Security
(https://www.sciencedirect.com/science/article/pii/S0167404824001068), code
available at https://github.com/SmartData-Polito/logprecis, models available
at https://huggingface.co/SmartDataPolito | Computers & Security, 2024, 103805, ISSN 0167-4048 | 10.1016/j.cose.2024.103805 | null | null | null | null | null | null | null |
2,307.08347 | M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models
and Latent Space Geometry Optimization | ['Che Liu', 'Sibo Cheng', 'Chen Chen', 'Mengyun Qiao', 'Weitong Zhang', 'Anand Shah', 'Wenjia Bai', 'Rossella Arcucci'] | ['cs.CV', 'cs.AI', 'cs.LG'] | Medical vision-language models enable co-learning and integrating features
from medical imaging and clinical text. However, these models are not easy to
train and the latent representation space can be complex. Here we propose a
novel way for pre-training and regularising medical vision-language models. The
proposed me... | 2023-07-17T09:38:41Z | Accepted by MICCAI 2023 | null | null | M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization | ['Che Liu', 'Sibo Cheng', 'Chen Chen', 'Mengyun Qiao', 'Weitong Zhang', 'Anand Shah', 'Wenjia Bai', 'Rossella Arcucci'] | 2,023 | International Conference on Medical Image Computing and Computer-Assisted Intervention | 58 | 34 | ['Computer Science'] |
2,307.08621 | Retentive Network: A Successor to Transformer for Large Language Models | ['Yutao Sun', 'Li Dong', 'Shaohan Huang', 'Shuming Ma', 'Yuqing Xia', 'Jilong Xue', 'Jianyong Wang', 'Furu Wei'] | ['cs.CL', 'cs.LG'] | In this work, we propose Retentive Network (RetNet) as a foundation
architecture for large language models, simultaneously achieving training
parallelism, low-cost inference, and good performance. We theoretically derive
the connection between recurrence and attention. Then we propose the retention
mechanism for sequen... | 2023-07-17T16:40:01Z | null | null | null | Retentive Network: A Successor to Transformer for Large Language Models | ['Yutao Sun', 'Li Dong', 'Shaohan Huang', 'Shuming Ma', 'Yuqing Xia', 'Jilong Xue', 'Jianyong Wang', 'Furu Wei'] | 2,023 | arXiv.org | 347 | 44 | ['Computer Science'] |
2,307.08691 | FlashAttention-2: Faster Attention with Better Parallelism and Work
Partitioning | ['Tri Dao'] | ['cs.LG'] | Scaling Transformers to longer sequence lengths has been a major problem in
the last several years, promising to improve performance in language modeling
and high-resolution image understanding, as well as to unlock new applications
in code, audio, and video generation. The attention layer is the main
bottleneck in sca... | 2023-07-17T17:50:36Z | null | null | null | null | null | null | null | null | null | null |
2,307.08701 | AlpaGasus: Training A Better Alpaca with Fewer Data | ['Lichang Chen', 'Shiyang Li', 'Jun Yan', 'Hai Wang', 'Kalpa Gunaratna', 'Vikas Yadav', 'Zheng Tang', 'Vijay Srinivasan', 'Tianyi Zhou', 'Heng Huang', 'Hongxia Jin'] | ['cs.CL'] | Large language models (LLMs) strengthen instruction-following capability
through instruction-finetuning (IFT) on supervised instruction/response data.
However, widely used IFT datasets (e.g., Alpaca's 52k data) surprisingly
contain many low-quality instances with incorrect or irrelevant responses,
which are misleading ... | 2023-07-17T17:59:40Z | 32 Pages; 29 Figures; 15 Tables | null | null | null | null | null | null | null | null | null |
2,307.0872 | ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and
Development | ['Yanir Marmor', 'Kinneret Misgav', 'Yair Lifshitz'] | ['eess.AS', 'cs.CL', 'cs.SD'] | We introduce "ivrit.ai", a comprehensive Hebrew speech dataset, addressing
the distinct lack of extensive, high-quality resources for advancing Automated
Speech Recognition (ASR) technology in Hebrew. With over 3,300 speech hours and
a over a thousand diverse speakers, ivrit.ai offers a substantial compilation
of Hebre... | 2023-07-17T04:19:30Z | 9 pages, 1 table and 3 figures | null | null | null | null | null | null | null | null | null |
2,307.08781 | The FathomNet2023 Competition Dataset | ['Eric Orenstein', 'Kevin Barnard', 'Lonny Lundsten', 'Geneviève Patterson', 'Benjamin Woodward', 'Kakani Katija'] | ['cs.CV'] | Ocean scientists have been collecting visual data to study marine organisms
for decades. These images and videos are extremely valuable both for basic
science and environmental monitoring tasks. There are tools for automatically
processing these data, but none that are capable of handling the extreme
variability in sam... | 2023-07-17T18:50:53Z | Competition was presented as part of the 10th Fine Grained Visual
Categorization workshop at the 2023 Computer Vision and Pattern Recognition
conference. 4 pages, 4 figures | null | null | null | null | null | null | null | null | null |
2,307.09283 | RepViT: Revisiting Mobile CNN From ViT Perspective | ['Ao Wang', 'Hui Chen', 'Zijia Lin', 'Jungong Han', 'Guiguang Ding'] | ['cs.CV'] | Recently, lightweight Vision Transformers (ViTs) demonstrate superior
performance and lower latency, compared with lightweight Convolutional Neural
Networks (CNNs), on resource-constrained mobile devices. Researchers have
discovered many structural connections between lightweight ViTs and lightweight
CNNs. However, the... | 2023-07-18T14:24:33Z | CVPR 2024 Camera-ready Version | null | null | Rep ViT: Revisiting Mobile CNN From ViT Perspective | ['Ao Wang', 'Hui Chen', 'Zijia Lin', 'Hengjun Pu', 'Guiguang Ding'] | 2,023 | Computer Vision and Pattern Recognition | 219 | 100 | ['Computer Science'] |
2,307.09288 | Llama 2: Open Foundation and Fine-Tuned Chat Models | ['Hugo Touvron', 'Louis Martin', 'Kevin Stone', 'Peter Albert', 'Amjad Almahairi', 'Yasmine Babaei', 'Nikolay Bashlykov', 'Soumya Batra', 'Prajjwal Bhargava', 'Shruti Bhosale', 'Dan Bikel', 'Lukas Blecher', 'Cristian Canton Ferrer', 'Moya Chen', 'Guillem Cucurull', 'David Esiobu', 'Jude Fernandes', 'Jeremy Fu', 'Wenyin... | ['cs.CL', 'cs.AI'] | In this work, we develop and release Llama 2, a collection of pretrained and
fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70
billion parameters. Our fine-tuned LLMs, called Llama 2-Chat, are optimized for
dialogue use cases. Our models outperform open-source chat models on most
benchmarks ... | 2023-07-18T14:31:57Z | null | null | null | null | null | null | null | null | null | null |
2,307.09758 | Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray
Report Generation | ['Aaron Nicolson', 'Jason Dowling', 'Bevan Koopman'] | ['cs.CV'] | Radiologists face high burnout rates, partially due to the increasing volume
of Chest X-rays (CXRs) requiring interpretation and reporting. Automated CXR
report generation holds promise for reducing this burden and improving patient
care. While current models show potential, their diagnostic accuracy is
limited. Our pr... | 2023-07-19T05:41:14Z | null | null | null | null | null | null | null | null | null | null |
2,307.09998 | Controlling Equational Reasoning in Large Language Models with Prompt
Interventions | ['Jordan Meadows', 'Marco Valentino', 'Andre Freitas'] | ['cs.CL', 'math.HO'] | This paper investigates how hallucination rates in Large Language Models
(LLMs) may be controlled via a symbolic data generation framework, exploring a
fundamental relationship between the rate of certain mathematical errors and
types of input intervention. Specifically, we systematically generate data for
a derivation... | 2023-07-19T14:13:02Z | AAAI 2025 (7 pages) | null | null | null | null | null | null | null | null | null |
2,307.10172 | DialogStudio: Towards Richest and Most Diverse Unified Dataset
Collection for Conversational AI | ['Jianguo Zhang', 'Kun Qian', 'Zhiwei Liu', 'Shelby Heinecke', 'Rui Meng', 'Ye Liu', 'Zhou Yu', 'Huan Wang', 'Silvio Savarese', 'Caiming Xiong'] | ['cs.CL', 'cs.AI'] | Despite advancements in conversational AI, language models encounter
challenges to handle diverse conversational tasks, and existing dialogue
dataset collections often lack diversity and comprehensiveness. To tackle these
issues, we introduce DialogStudio: the largest and most diverse collection of
dialogue datasets, u... | 2023-07-19T17:57:53Z | 17 pages, accepted by EACL 2024 Findings as a long paper. All
datasets, licenses, codes, and models are available at at
https://github.com/salesforce/DialogStudio | null | null | DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI | ['Jianguo Zhang', 'Kun Qian', 'Zhiwei Liu', 'Shelby Heinecke', 'Rui Meng', 'Ye Liu', 'Zhou Yu', 'S. Savarese', 'Caiming Xiong'] | 2,023 | Findings | 22 | 113 | ['Computer Science'] |
2,307.10274 | Zero-shot Domain-sensitive Speech Recognition with Prompt-conditioning
Fine-tuning | ['Feng-Ting Liao', 'Yung-Chieh Chan', 'Yi-Chang Chen', 'Chan-Jan Hsu', 'Da-shan Shiu'] | ['eess.AS', 'cs.CL', 'cs.LG'] | In this work, we propose a method to create domain-sensitive speech
recognition models that utilize textual domain information by conditioning its
generation on a given text prompt. This is accomplished by fine-tuning a
pre-trained, end-to-end model (Whisper) to learn from demonstrations with
prompt examples. We show t... | 2023-07-18T06:45:43Z | F-T Liao and Y-C Chan contributed equally; paper accepted to
ASRU2023; code and model weights available in
https://github.com/mtkresearch/clairaudience | null | null | null | null | null | null | null | null | null |
2,307.10802 | Meta-Transformer: A Unified Framework for Multimodal Learning | ['Yiyuan Zhang', 'Kaixiong Gong', 'Kaipeng Zhang', 'Hongsheng Li', 'Yu Qiao', 'Wanli Ouyang', 'Xiangyu Yue'] | ['cs.CV', 'cs.AI', 'cs.CL', 'cs.LG', 'cs.MM'] | Multimodal learning aims to build models that can process and relate
information from multiple modalities. Despite years of development in this
field, it still remains challenging to design a unified network for processing
various modalities ($\textit{e.g.}$ natural language, 2D images, 3D point
clouds, audio, video, t... | 2023-07-20T12:10:29Z | Project website: https://kxgong.github.io/meta_transformer/ | null | null | Meta-Transformer: A Unified Framework for Multimodal Learning | ['Yiyuan Zhang', 'Kaixiong Gong', 'Kaipeng Zhang', 'Hongsheng Li', 'Y. Qiao', 'Wanli Ouyang', 'Xiangyu Yue'] | 2,023 | arXiv.org | 150 | 121 | ['Computer Science'] |
2,307.10984 | Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image | ['Wei Yin', 'Chi Zhang', 'Hao Chen', 'Zhipeng Cai', 'Gang Yu', 'Kaixuan Wang', 'Xiaozhi Chen', 'Chunhua Shen'] | ['cs.CV', 'cs.AI'] | Reconstructing accurate 3D scenes from images is a long-standing vision task.
Due to the ill-posedness of the single-image reconstruction problem, most
well-established methods are built upon multi-view geometry. State-of-the-art
(SOTA) monocular metric depth estimation methods can only handle a single
camera model and... | 2023-07-20T16:14:23Z | Accepted to ICCV 2023. Won the championship in the 2nd Monocular
Depth Estimation Challenge. The code is available at
https://github.com/YvanYin/Metric3D | null | null | Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image | ['Wei Yin', 'Chi Zhang', 'Hao Chen', 'Zhipeng Cai', 'Gang Yu', 'Kaixuan Wang', 'Xiaozhi Chen', 'Chunhua Shen'] | 2,023 | IEEE International Conference on Computer Vision | 198 | 74 | ['Computer Science'] |
2,307.11088 | L-Eval: Instituting Standardized Evaluation for Long Context Language
Models | ['Chenxin An', 'Shansan Gong', 'Ming Zhong', 'Xingjian Zhao', 'Mukai Li', 'Jun Zhang', 'Lingpeng Kong', 'Xipeng Qiu'] | ['cs.CL'] | Recently, there has been growing interest in extending the context length of
large language models (LLMs), aiming to effectively process long inputs of one
turn or conversations with more extensive histories. While proprietary models
such as GPT-4 and Claude can largely preserve the reasoning ability in an
extended con... | 2023-07-20T17:59:41Z | null | null | null | null | null | null | null | null | null | null |
2,307.1117 | UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for
Biomedical Entity Recognition | ['Aidan Mannion', 'Thierry Chevalier', 'Didier Schwab', 'Lorraine Geouriot'] | ['cs.CL'] | Pre-trained transformer language models (LMs) have in recent years become the
dominant paradigm in applied NLP. These models have achieved state-of-the-art
performance on tasks such as information extraction, question answering,
sentiment analysis, document classification and many others. In the biomedical
domain, sign... | 2023-07-20T18:08:34Z | Addition of v2 experiments | null | null | null | null | null | null | null | null | null |
2,307.11224 | Jina Embeddings: A Novel Set of High-Performance Sentence Embedding
Models | ['Michael Günther', 'Louis Milliken', 'Jonathan Geuter', 'Georgios Mastrapas', 'Bo Wang', 'Han Xiao'] | ['cs.CL', 'cs.AI', 'cs.IR', 'cs.LG', '68T50', 'H.3.1; H.3.3; I.2.7; I.5.4'] | Jina Embeddings constitutes a set of high-performance sentence embedding
models adept at translating textual inputs into numerical representations,
capturing the semantics of the text. These models excel in applications like
dense retrieval and semantic textual similarity. This paper details the
development of Jina Emb... | 2023-07-20T20:37:24Z | 9 pages, 2 page appendix | null | null | null | null | null | null | null | null | null |
2,307.11545 | Bridging Vision and Language Encoders: Parameter-Efficient Tuning for
Referring Image Segmentation | ['Zunnan Xu', 'Zhihong Chen', 'Yong Zhang', 'Yibing Song', 'Xiang Wan', 'Guanbin Li'] | ['cs.CV', 'cs.CL'] | Parameter Efficient Tuning (PET) has gained attention for reducing the number
of parameters while maintaining performance and providing better hardware
resource savings, but few studies investigate dense prediction tasks and
interaction between modalities. In this paper, we do an investigation of
efficient tuning probl... | 2023-07-21T12:46:15Z | Computer Vision and Natural Language Processing. 14 pages, 8 figures.
ICCV-2023 | null | null | null | null | null | null | null | null | null |
2,307.1176 | Large Language Models Understand and Can be Enhanced by Emotional
Stimuli | ['Cheng Li', 'Jindong Wang', 'Yixuan Zhang', 'Kaijie Zhu', 'Wenxin Hou', 'Jianxun Lian', 'Fang Luo', 'Qiang Yang', 'Xing Xie'] | ['cs.CL', 'cs.AI', 'cs.HC'] | Emotional intelligence significantly impacts our daily behaviors and
interactions. Although Large Language Models (LLMs) are increasingly viewed as
a stride toward artificial general intelligence, exhibiting impressive
performance in numerous tasks, it is still uncertain if LLMs can genuinely
grasp psychological emotio... | 2023-07-14T00:57:12Z | Technical report; updated the std error for human study; short
version (v1) was accepted by LLM@IJCAI'23; 32 pages; more work:
https://llm-enhance.github.io/ | null | null | null | null | null | null | null | null | null |
2,307.11965 | An Intelligent Remote Sensing Image Quality Inspection System | ['Yijiong Yu', 'Tao Wang', 'Kang Ran', 'Chang Li', 'Hao Wu'] | ['cs.CV'] | Due to the inevitable presence of quality problems, quality inspection of
remote sensing images is indeed an indispensable step between the acquisition
and the application of them. However, traditional manual inspection suffers
from low efficiency. Hence, we propose a novel deep learning-based two-step
intelligent syst... | 2023-07-22T02:50:07Z | null | null | 10.1049/ipr2.12977 | An intelligent remote sensing image quality inspection system | ['Yi Yu', 'Tao Wang', 'Kang Ran', 'Changjiang Li', 'Hao Wu'] | 2,023 | IET Image Processing | 1 | 25 | ['Computer Science'] |
2,307.12008 | The First Room-Temperature Ambient-Pressure Superconductor | ['Sukbae Lee', 'Ji-Hoon Kim', 'Young-Wan Kwon'] | ['cond-mat.supr-con'] | For the first time in the world, we succeeded in synthesizing the
room-temperature superconductor ($T_c \ge 400$ K, 127$^\circ$C) working at
ambient pressure with a modified lead-apatite (LK-99) structure. The
superconductivity of LK-99 is proved with the Critical temperature ($T_c$),
Zero-resistivity, Critical current... | 2023-07-22T07:51:19Z | null | null | null | The Firs Room-Temperature Ambient-Pressure Superconductor | ['Sukbae Lee', 'Jihoon Kim', 'Young‐Wan Kwon'] | 2,023 | null | 56 | 58 | ['Physics'] |
2,307.1227 | Context Perception Parallel Decoder for Scene Text Recognition | ['Yongkun Du', 'Zhineng Chen', 'Caiyan Jia', 'Xiaoting Yin', 'Chenxia Li', 'Yuning Du', 'Yu-Gang Jiang'] | ['cs.CV'] | Scene text recognition (STR) methods have struggled to attain high accuracy
and fast inference speed. Autoregressive (AR)-based models implement the
recognition in a character-by-character manner, showing superiority in accuracy
but with slow inference speed. Alternatively, parallel decoding (PD)-based
models infer all... | 2023-07-23T09:04:13Z | null | null | null | null | null | null | null | null | null | null |
2,307.12981 | 3D-LLM: Injecting the 3D World into Large Language Models | ['Yining Hong', 'Haoyu Zhen', 'Peihao Chen', 'Shuhong Zheng', 'Yilun Du', 'Zhenfang Chen', 'Chuang Gan'] | ['cs.CV', 'cs.AI', 'cs.CL', 'cs.LG', 'cs.RO'] | Large language models (LLMs) and Vision-Language Models (VLMs) have been
proven to excel at multiple tasks, such as commonsense reasoning. Powerful as
these models can be, they are not grounded in the 3D physical world, which
involves richer concepts such as spatial relationships, affordances, physics,
layout, and so o... | 2023-07-24T17:59:02Z | Project Page: : https://vis-www.cs.umass.edu/3dllm/ | null | null | null | null | null | null | null | null | null |
2,307.13377 | Embedding Models for Supervised Automatic Extraction and Classification
of Named Entities in Scientific Acknowledgements | ['Nina Smirnova', 'Philipp Mayr'] | ['cs.DL', 'cs.CL', 'cs.IR', 'J.4; J.5; I.5.1; H.3.3; I.2.7'] | Acknowledgments in scientific papers may give an insight into aspects of the
scientific community, such as reward systems, collaboration patterns, and
hidden research trends. The aim of the paper is to evaluate the performance of
different embedding models for the task of automatic extraction and
classification of ackn... | 2023-07-25T09:51:17Z | The present paper is an extended version of the article Evaluation of
Embedding Models for Automatic Extraction and Classification of Acknowledged
Entities in Scientific Documents (Smirnova and Mayr, 2022) presented at the
3rd Workshop on Extraction and Evaluation of Knowledge Entities from
Scientific Documents... | null | null | Embedding Models for Supervised Automatic Extraction and Classification of Named Entities in Scientific Acknowledgements | ['N. Smirnova', 'Philipp Mayr'] | 2,023 | Scientometrics | 5 | 51 | ['Computer Science'] |
2,307.13989 | This is not correct! Negation-aware Evaluation of Language Generation
Systems | ['Miriam Anschütz', 'Diego Miguel Lozano', 'Georg Groh'] | ['cs.CL', 'cs.LG'] | Large language models underestimate the impact of negations on how much they
change the meaning of a sentence. Therefore, learned evaluation metrics based
on these models are insensitive to negations. In this paper, we propose
NegBLEURT, a negation-aware version of the BLEURT evaluation metric. For that,
we designed a ... | 2023-07-26T06:54:31Z | Accepted to INLG 2023 | null | null | null | null | null | null | null | null | null |
2,307.14134 | Developing and Evaluating Tiny to Medium-Sized Turkish BERT Models | ['Himmet Toprak Kesgin', 'Muzaffer Kaan Yuce', 'Mehmet Fatih Amasyali'] | ['cs.CL', 'cs.AI', 'cs.LG'] | This study introduces and evaluates tiny, mini, small, and medium-sized
uncased Turkish BERT models, aiming to bridge the research gap in
less-resourced languages. We trained these models on a diverse dataset
encompassing over 75GB of text from multiple sources and tested them on several
tasks, including mask predictio... | 2023-07-26T12:02:30Z | null | null | null | Developing and Evaluating Tiny to Medium-Sized Turkish BERT Models | ['H. T. Kesgin', 'M. K. Yuce', 'M. Amasyalı'] | 2,023 | arXiv.org | 7 | 19 | ['Computer Science'] |
2,307.14367 | Prot2Text: Multimodal Protein's Function Generation with GNNs and
Transformers | ['Hadi Abdine', 'Michail Chatzianastasis', 'Costas Bouyioukos', 'Michalis Vazirgiannis'] | ['q-bio.QM', 'cs.CL', 'cs.LG'] | In recent years, significant progress has been made in the field of protein
function prediction with the development of various machine-learning
approaches. However, most existing methods formulate the task as a
multi-classification problem, i.e. assigning predefined labels to proteins. In
this work, we propose a novel... | 2023-07-25T09:35:43Z | null | Proceedings of the AAAI Conference on Artificial Intelligence,
38(10), 10757-10765 (2024) | 10.1609/aaai.v38i10.28948 | Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers | ['Hadi Abdine', 'Michail Chatzianastasis', 'Costas Bouyioukos', 'M. Vazirgiannis'] | 2,023 | AAAI Conference on Artificial Intelligence | 45 | 51 | ['Computer Science', 'Biology'] |
2,307.14385 | Mental-LLM: Leveraging Large Language Models for Mental Health
Prediction via Online Text Data | ['Xuhai Xu', 'Bingsheng Yao', 'Yuanzhe Dong', 'Saadia Gabriel', 'Hong Yu', 'James Hendler', 'Marzyeh Ghassemi', 'Anind K. Dey', 'Dakuo Wang'] | ['cs.CL', '68U35', 'H.5.2; I.2.m'] | Advances in large language models (LLMs) have empowered a variety of
applications. However, there is still a significant gap in research when it
comes to understanding and enhancing the capabilities of LLMs in the field of
mental health. In this work, we present a comprehensive evaluation of multiple
LLMs on various me... | 2023-07-26T06:00:50Z | Published at Proceedings of the ACM on Interactive, Mobile, Wearable
and Ubiquitous Technologies (IMWUT) 2024 | null | 10.1145/3643540 | Mental-LLM | ['Xuhai Xu', 'Bingsheng Yao', 'Yu Dong', 'Hongfeng Yu', 'James A. Hendler', 'A. Dey', 'Dakuo Wang'] | 2,023 | Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies | 70 | 134 | ['Medicine', 'Computer Science'] |
2,307.1446 | MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation | ['Reiner Birkl', 'Diana Wofk', 'Matthias Müller'] | ['cs.CV'] | We release MiDaS v3.1 for monocular depth estimation, offering a variety of
new models based on different encoder backbones. This release is motivated by
the success of transformers in computer vision, with a large variety of
pretrained vision transformers now available. We explore how using the most
promising vision t... | 2023-07-26T19:01:49Z | 14 pages, 2 figures | null | null | MiDaS v3.1 - A Model Zoo for Robust Monocular Relative Depth Estimation | ['R. Birkl', 'Diana Wofk', 'Matthias Müller'] | 2,023 | arXiv.org | 142 | 59 | ['Computer Science'] |
2,307.1462 | NeRF-Det: Learning Geometry-Aware Volumetric Representation for
Multi-View 3D Object Detection | ['Chenfeng Xu', 'Bichen Wu', 'Ji Hou', 'Sam Tsai', 'Ruilong Li', 'Jialiang Wang', 'Wei Zhan', 'Zijian He', 'Peter Vajda', 'Kurt Keutzer', 'Masayoshi Tomizuka'] | ['cs.CV'] | We present NeRF-Det, a novel method for indoor 3D detection with posed RGB
images as input. Unlike existing indoor 3D detection methods that struggle to
model scene geometry, our method makes novel use of NeRF in an end-to-end
manner to explicitly estimate 3D geometry, thereby improving 3D detection
performance. Specif... | 2023-07-27T04:36:16Z | Accepted by ICCV 2023 | null | null | null | null | null | null | null | null | null |
2,307.14928 | Graph-based Polyphonic Multitrack Music Generation | ['Emanuele Cosenza', 'Andrea Valenti', 'Davide Bacciu'] | ['cs.SD', 'cs.LG', 'eess.AS'] | Graphs can be leveraged to model polyphonic multitrack symbolic music, where
notes, chords and entire sections may be linked at different levels of the
musical hierarchy by tonal and rhythmic relationships. Nonetheless, there is a
lack of works that consider graph representations in the context of deep
learning systems... | 2023-07-27T15:18:50Z | null | null | null | Graph-based Polyphonic Multitrack Music Generation | ['Emanuele Cosenza', 'Andrea Valenti', 'D. Bacciu'] | 2,023 | International Joint Conference on Artificial Intelligence | 4 | 51 | ['Computer Science', 'Engineering'] |
2,307.14995 | TransNormerLLM: A Faster and Better Large Language Model with Improved
TransNormer | ['Zhen Qin', 'Dong Li', 'Weigao Sun', 'Weixuan Sun', 'Xuyang Shen', 'Xiaodong Han', 'Yunshen Wei', 'Baohong Lv', 'Xiao Luo', 'Yu Qiao', 'Yiran Zhong'] | ['cs.CL'] | We present TransNormerLLM, the first linear attention-based Large Language
Model (LLM) that outperforms conventional softmax attention-based models in
terms of both accuracy and efficiency. TransNormerLLM evolves from the previous
linear attention architecture TransNormer by making advanced modifications that
include p... | 2023-07-27T16:45:33Z | Technical Report. Yiran Zhong is the corresponding author. Zhen Qin,
Dong Li, Weigao Sun, Weixuan Sun, Xuyang Shen contribute equally to this
paper. Code is released at: https://github.com/OpenNLPLab/TransnormerLLM | null | null | TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer | ['Zhen Qin', 'Dong Li', 'Weigao Sun', 'Weixuan Sun', 'Xuyang Shen', 'Xiaodong Han', 'Yunshen Wei', 'Baohong Lv', 'Fei Yuan', 'Xiao Luo', 'Y. Qiao', 'Yiran Zhong'] | 2,023 | null | 18 | 62 | ['Computer Science'] |
2,307.15043 | Universal and Transferable Adversarial Attacks on Aligned Language
Models | ['Andy Zou', 'Zifan Wang', 'Nicholas Carlini', 'Milad Nasr', 'J. Zico Kolter', 'Matt Fredrikson'] | ['cs.CL', 'cs.AI', 'cs.CR', 'cs.LG'] | Because "out-of-the-box" large language models are capable of generating a
great deal of objectionable content, recent work has focused on aligning these
models in an attempt to prevent undesirable generation. While there has been
some success at circumventing these measures -- so-called "jailbreaks" against
LLMs -- th... | 2023-07-27T17:49:12Z | Website: http://llm-attacks.org/ | null | null | null | null | null | null | null | null | null |
2,307.15189 | Med-Flamingo: a Multimodal Medical Few-shot Learner | ['Michael Moor', 'Qian Huang', 'Shirley Wu', 'Michihiro Yasunaga', 'Cyril Zakka', 'Yash Dalmia', 'Eduardo Pontes Reis', 'Pranav Rajpurkar', 'Jure Leskovec'] | ['cs.CV', 'cs.AI'] | Medicine, by its nature, is a multifaceted domain that requires the synthesis
of information across various modalities. Medical generative vision-language
models (VLMs) make a first step in this direction and promise many exciting
clinical applications. However, existing models typically have to be fine-tuned
on sizeab... | 2023-07-27T20:36:02Z | Preprint | null | null | null | null | null | null | null | null | null |
2,307.1588 | Effective Whole-body Pose Estimation with Two-stages Distillation | ['Zhendong Yang', 'Ailing Zeng', 'Chun Yuan', 'Yu Li'] | ['cs.CV'] | Whole-body pose estimation localizes the human body, hand, face, and foot
keypoints in an image. This task is challenging due to multi-scale body parts,
fine-grained localization for low-resolution regions, and data scarcity.
Meanwhile, applying a highly efficient and accurate pose estimator to widely
human-centric und... | 2023-07-29T03:49:28Z | Accepted by ICCV 2023, CV4Metaverse Workshop | null | null | null | null | null | null | null | null | null |
2,307.16372 | LP-MusicCaps: LLM-Based Pseudo Music Captioning | ['SeungHeon Doh', 'Keunwoo Choi', 'Jongpil Lee', 'Juhan Nam'] | ['cs.SD', 'cs.IR', 'cs.MM', 'eess.AS'] | Automatic music captioning, which generates natural language descriptions for
given music tracks, holds significant potential for enhancing the understanding
and organization of large volumes of musical data. Despite its importance,
researchers face challenges due to the costly and time-consuming collection
process of ... | 2023-07-31T02:32:02Z | Accepted for publication at the 24th International Society for Music
Information Retrieval Conference (ISMIR 2023) | null | null | null | null | null | null | null | null | null |
2,307.1643 | VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech
with Adversarial Learning and Architecture Design | ['Jungil Kong', 'Jihoon Park', 'Beomjeong Kim', 'Jeongmin Kim', 'Dohee Kong', 'Sangjin Kim'] | ['cs.SD', 'cs.LG', 'eess.AS'] | Single-stage text-to-speech models have been actively studied recently, and
their results have outperformed two-stage pipeline systems. Although the
previous single-stage model has made great progress, there is room for
improvement in terms of its intermittent unnaturalness, computational
efficiency, and strong depende... | 2023-07-31T06:36:44Z | Interspeech 2023 | null | null | null | null | null | null | null | null | null |
2,307.16449 | MovieChat: From Dense Token to Sparse Memory for Long Video
Understanding | ['Enxin Song', 'Wenhao Chai', 'Guanhong Wang', 'Yucheng Zhang', 'Haoyang Zhou', 'Feiyang Wu', 'Haozhe Chi', 'Xun Guo', 'Tian Ye', 'Yanting Zhang', 'Yan Lu', 'Jenq-Neng Hwang', 'Gaoang Wang'] | ['cs.CV'] | Recently, integrating video foundation models and large language models to
build a video understanding system can overcome the limitations of specific
pre-defined vision tasks. Yet, existing systems can only handle videos with
very few frames. For long videos, the computation complexity, memory cost, and
long-term temp... | 2023-07-31T07:15:45Z | CVPR 2024. First three authors contribute equally to this work.
Project Website https://rese1f.github.io/MovieChat/ | null | null | null | null | null | null | null | null | null |
2,307.16885 | LEONARDO: A Pan-European Pre-Exascale Supercomputer for HPC and AI
Applications | ['Matteo Turisini', 'Giorgio Amati', 'Mirko Cestari'] | ['cs.DC'] | A new pre-exascale computer cluster has been designed to foster scientific
progress and competitive innovation across European research systems, it is
called LEONARDO. This paper describes the general architecture of the system
and focuses on the technologies adopted for its GPU-accelerated partition. High
density proc... | 2023-07-31T17:50:16Z | 16 pages, 5 figures, 7 tables, to be published in Journal of Large
Scale Research Facilities | null | null | LEONARDO: A Pan-European Pre-Exascale Supercomputer for HPC and AI Applications | ['Matteo Turisini', 'G. Amati', 'Mirko Cestari'] | 2,023 | arXiv.org | 13 | 35 | ['Computer Science'] |
2,307.16888 | Backdooring Instruction-Tuned Large Language Models with Virtual Prompt
Injection | ['Jun Yan', 'Vikas Yadav', 'Shiyang Li', 'Lichang Chen', 'Zheng Tang', 'Hai Wang', 'Vijay Srinivasan', 'Xiang Ren', 'Hongxia Jin'] | ['cs.CL', 'cs.CR', 'cs.LG'] | Instruction-tuned Large Language Models (LLMs) have become a ubiquitous
platform for open-ended applications due to their ability to modulate responses
based on human instructions. The widespread use of LLMs holds significant
potential for shaping public perception, yet also risks being maliciously
steered to impact so... | 2023-07-31T17:56:00Z | Accepted to NAACL 2024. Project page: https://poison-llm.github.io | null | null | null | null | null | null | null | null | null |
2,308.00255 | LGViT: Dynamic Early Exiting for Accelerating Vision Transformer | ['Guanyu Xu', 'Jiawei Hao', 'Li Shen', 'Han Hu', 'Yong Luo', 'Hui Lin', 'Jialie Shen'] | ['cs.CV', 'cs.AI'] | Recently, the efficient deployment and acceleration of powerful vision
transformers (ViTs) on resource-limited edge devices for providing multimedia
services have become attractive tasks. Although early exiting is a feasible
solution for accelerating inference, most works focus on convolutional neural
networks (CNNs) a... | 2023-08-01T03:35:32Z | ACM MM 2023 | null | 10.1145/3581783.3611762 | LGViT: Dynamic Early Exiting for Accelerating Vision Transformer | ['Guanyu Xu', 'Jiawei Hao', 'Li Shen', 'Han Hu', 'Yong Luo', 'Hui Lin', 'Jialie Shen'] | 2,023 | ACM Multimedia | 18 | 40 | ['Computer Science'] |
2,308.01263 | XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in
Large Language Models | ['Paul Röttger', 'Hannah Rose Kirk', 'Bertie Vidgen', 'Giuseppe Attanasio', 'Federico Bianchi', 'Dirk Hovy'] | ['cs.CL', 'cs.AI'] | Without proper safeguards, large language models will readily follow
malicious instructions and generate toxic content. This risk motivates safety
efforts such as red-teaming and large-scale feedback learning, which aim to
make models both helpful and harmless. However, there is a tension between
these two objectives, ... | 2023-08-02T16:30:40Z | Accepted at NAACL 2024 (Main Conference) | null | null | XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models | ['Paul Röttger', 'Hannah Rose Kirk', 'Bertie Vidgen', 'Giuseppe Attanasio', 'Federico Bianchi', 'Dirk Hovy'] | 2,023 | North American Chapter of the Association for Computational Linguistics | 154 | 52 | ['Computer Science'] |
2,308.01285 | Flows: Building Blocks of Reasoning and Collaborating AI | ['Martin Josifoski', 'Lars Klein', 'Maxime Peyrard', 'Nicolas Baldwin', 'Yifei Li', 'Saibo Geng', 'Julian Paul Schnitzler', 'Yuxing Yao', 'Jiheng Wei', 'Debjit Paul', 'Robert West'] | ['cs.AI', 'cs.HC'] | Recent advances in artificial intelligence (AI) have produced highly capable
and controllable systems. This creates unprecedented opportunities for
structured reasoning as well as collaboration among multiple AI systems and
humans. To fully realize this potential, it is essential to develop a
principled way of designin... | 2023-08-02T17:14:22Z | null | null | null | null | null | null | null | null | null | null |
2,308.01317 | ELIXR: Towards a general purpose X-ray artificial intelligence system
through alignment of large language models and radiology vision encoders | ['Shawn Xu', 'Lin Yang', 'Christopher Kelly', 'Marcin Sieniek', 'Timo Kohlberger', 'Martin Ma', 'Wei-Hung Weng', 'Atilla Kiraly', 'Sahar Kazemzadeh', 'Zakkai Melamed', 'Jungyeon Park', 'Patricia Strachan', 'Yun Liu', 'Chuck Lau', 'Preeti Singh', 'Christina Chen', 'Mozziyar Etemadi', 'Sreenivasa Raju Kalidindi', 'Yossi ... | ['cs.CV', 'eess.IV'] | In this work, we present an approach, which we call Embeddings for
Language/Image-aligned X-Rays, or ELIXR, that leverages a language-aligned
image encoder combined or grafted onto a fixed LLM, PaLM 2, to perform a broad
range of chest X-ray tasks. We train this lightweight adapter architecture
using images paired with... | 2023-08-02T17:59:45Z | null | null | null | ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders | ['Shawn Xu', 'L. Yang', 'Christopher J. Kelly', 'Marcin Sieniek', 'Timo Kohlberger', 'Martin Q. Ma', 'W. Weng', 'A. Király', 'Sahar Kazemzadeh', 'Zakkai Melamed', 'Jungyeon Park', 'Patricia Strachan', 'Yun Liu', 'Charles Lau', 'Preeti Singh', 'Christina Chen', 'M. Etemadi', 'Sreenivasa Raju Kalidindi', 'Yossi Matias', ... | 2,023 | arXiv.org | 55 | 35 | ['Computer Science', 'Engineering'] |
2,308.0139 | OpenFlamingo: An Open-Source Framework for Training Large Autoregressive
Vision-Language Models | ['Anas Awadalla', 'Irena Gao', 'Josh Gardner', 'Jack Hessel', 'Yusuf Hanafy', 'Wanrong Zhu', 'Kalyani Marathe', 'Yonatan Bitton', 'Samir Gadre', 'Shiori Sagawa', 'Jenia Jitsev', 'Simon Kornblith', 'Pang Wei Koh', 'Gabriel Ilharco', 'Mitchell Wortsman', 'Ludwig Schmidt'] | ['cs.CV', 'cs.AI', 'cs.LG'] | We introduce OpenFlamingo, a family of autoregressive vision-language models
ranging from 3B to 9B parameters. OpenFlamingo is an ongoing effort to produce
an open-source replication of DeepMind's Flamingo models. On seven
vision-language datasets, OpenFlamingo models average between 80 - 89% of
corresponding Flamingo ... | 2023-08-02T19:10:23Z | null | null | null | null | null | null | null | null | null | null |
2,308.01546 | MusicLDM: Enhancing Novelty in Text-to-Music Generation Using
Beat-Synchronous Mixup Strategies | ['Ke Chen', 'Yusong Wu', 'Haohe Liu', 'Marianna Nezhurina', 'Taylor Berg-Kirkpatrick', 'Shlomo Dubnov'] | ['cs.SD', 'cs.AI', 'cs.LG', 'cs.MM', 'eess.AS'] | Diffusion models have shown promising results in cross-modal generation
tasks, including text-to-image and text-to-audio generation. However,
generating music, as a special type of audio, presents unique challenges due to
limited availability of music data and sensitive issues related to copyright
and plagiarism. In th... | 2023-08-03T05:35:37Z | 16 pages, 3 figures, 2 tables, demo page: https://musicldm.github.io/ | null | null | null | null | null | null | null | null | null |
2,308.01621 | A Novel Convolutional Neural Network Architecture with a Continuous
Symmetry | ['Yao Liu', 'Hang Shao', 'Bing Bai'] | ['cs.CV', 'cs.LG', 'cs.NE'] | This paper introduces a new Convolutional Neural Network (ConvNet)
architecture inspired by a class of partial differential equations (PDEs)
called quasi-linear hyperbolic systems. With comparable performance on the
image classification task, it allows for the modification of the weights via a
continuous group of symme... | 2023-08-03T08:50:48Z | Accepted by the 3rd CAAI International Conference on Artificial
Intelligence (CICAI), 2023; with Addendum + minor edits | null | null | A Novel Convolutional Neural Network Architecture with a Continuous Symmetry | ['Y. Liu', 'Han-Juan Shao', 'Bing Bai'] | 2,023 | CAAI International Conference on Artificial Intelligence | 3 | 36 | ['Computer Science'] |
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