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2,308.02019 | Baby Llama: knowledge distillation from an ensemble of teachers trained
on a small dataset with no performance penalty | ['Inar Timiryasov', 'Jean-Loup Tastet'] | ['cs.CL', 'I.2.7'] | We present our submission to the BabyLM challenge, whose goal was to improve
the sample efficiency of language models. We trained an ensemble consisting of
a GPT-2 and small LLaMA models on the developmentally-plausible, 10M-word
BabyLM dataset, then distilled it into a small, 58M-parameter LLaMA model,
which exceeds i... | 2023-08-03T20:20:01Z | 11 pages, 4 figures, 4 tables, submitted to the BabyLM Challenge and
accepted as archival full paper (CoNLL--CMCL 2023 Shared Task), checkpoint
available at https://huggingface.co/timinar/baby-llama-58m, training code
available at https://github.com/timinar/BabyLlama | null | null | null | null | null | null | null | null | null |
2,308.02142 | Tweet Insights: A Visualization Platform to Extract Temporal Insights
from Twitter | ['Daniel Loureiro', 'Kiamehr Rezaee', 'Talayeh Riahi', 'Francesco Barbieri', 'Leonardo Neves', 'Luis Espinosa Anke', 'Jose Camacho-Collados'] | ['cs.CL', 'cs.SI'] | This paper introduces a large collection of time series data derived from
Twitter, postprocessed using word embedding techniques, as well as specialized
fine-tuned language models. This data comprises the past five years and
captures changes in n-gram frequency, similarity, sentiment and topic
distribution. The interfa... | 2023-08-04T05:39:26Z | Demo paper. Visualization platform available at
https://tweetnlp.org/insights | null | null | null | null | null | null | null | null | null |
2,308.02223 | ESRL: Efficient Sampling-based Reinforcement Learning for Sequence
Generation | ['Chenglong Wang', 'Hang Zhou', 'Yimin Hu', 'Yifu Huo', 'Bei Li', 'Tongran Liu', 'Tong Xiao', 'Jingbo Zhu'] | ['cs.CL'] | Applying Reinforcement Learning (RL) to sequence generation models enables
the direct optimization of long-term rewards (\textit{e.g.,} BLEU and human
feedback), but typically requires large-scale sampling over a space of action
sequences. This is a computational challenge as presented by the practice of
sequence gener... | 2023-08-04T09:35:45Z | null | null | null | ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation | ['Chenglong Wang', 'Hang Zhou', 'Yimin Hu', 'Yi Huo', 'Bei Li', 'Tongran Liu', 'Tong Xiao', 'Jingbo Zhu'] | 2,023 | AAAI Conference on Artificial Intelligence | 9 | 56 | ['Computer Science'] |
2,308.02559 | DLSIA: Deep Learning for Scientific Image Analysis | ['Eric J Roberts', 'Tanny Chavez', 'Alexander Hexemer', 'Petrus H. Zwart'] | ['cs.CV', 'cs.LG', 'hep-ex'] | We introduce DLSIA (Deep Learning for Scientific Image Analysis), a
Python-based machine learning library that empowers scientists and researchers
across diverse scientific domains with a range of customizable convolutional
neural network (CNN) architectures for a wide variety of tasks in image
analysis to be used in d... | 2023-08-02T21:32:41Z | 10 pages, two column, 9 figures, 1 Supplementary section | null | null | null | null | null | null | null | null | null |
2,308.02976 | Spanish Pre-trained BERT Model and Evaluation Data | ['José Cañete', 'Gabriel Chaperon', 'Rodrigo Fuentes', 'Jou-Hui Ho', 'Hojin Kang', 'Jorge Pérez'] | ['cs.CL', 'cs.AI', 'cs.LG'] | The Spanish language is one of the top 5 spoken languages in the world.
Nevertheless, finding resources to train or evaluate Spanish language models is
not an easy task. In this paper we help bridge this gap by presenting a
BERT-based language model pre-trained exclusively on Spanish data. As a second
contribution, we ... | 2023-08-06T00:16:04Z | Published as workshop paper at Practical ML for Developing Countries
Workshop @ ICLR 2020 | null | null | Spanish Pre-trained BERT Model and Evaluation Data | ['J. Cañete', 'Gabriel Chaperon', 'Rodrigo Fuentes', 'Jou-Hui Ho', 'Hojin Kang', "Jorge P'erez"] | 2,023 | arXiv.org | 667 | 50 | ['Computer Science'] |
2,308.03279 | UniversalNER: Targeted Distillation from Large Language Models for Open
Named Entity Recognition | ['Wenxuan Zhou', 'Sheng Zhang', 'Yu Gu', 'Muhao Chen', 'Hoifung Poon'] | ['cs.CL'] | Large language models (LLMs) have demonstrated remarkable generalizability,
such as understanding arbitrary entities and relations. Instruction tuning has
proven effective for distilling LLMs into more cost-efficient models such as
Alpaca and Vicuna. Yet such student models still trail the original LLMs by
large margin... | 2023-08-07T03:39:52Z | Accepted at ICLR 2024. Project page: https://universal-ner.github.io/ | null | null | null | null | null | null | null | null | null |
2,308.03281 | Towards General Text Embeddings with Multi-stage Contrastive Learning | ['Zehan Li', 'Xin Zhang', 'Yanzhao Zhang', 'Dingkun Long', 'Pengjun Xie', 'Meishan Zhang'] | ['cs.CL'] | We present GTE, a general-purpose text embedding model trained with
multi-stage contrastive learning. In line with recent advancements in unifying
various NLP tasks into a single format, we train a unified text embedding model
by employing contrastive learning over a diverse mixture of datasets from
multiple sources. B... | 2023-08-07T03:52:59Z | null | null | null | Towards General Text Embeddings with Multi-stage Contrastive Learning | ['Zehan Li', 'Xin Zhang', 'Yanzhao Zhang', 'Dingkun Long', 'Pengjun Xie', 'Meishan Zhang'] | 2,023 | arXiv.org | 422 | 66 | ['Computer Science'] |
2,308.03364 | Dual Aggregation Transformer for Image Super-Resolution | ['Zheng Chen', 'Yulun Zhang', 'Jinjin Gu', 'Linghe Kong', 'Xiaokang Yang', 'Fisher Yu'] | ['cs.CV'] | Transformer has recently gained considerable popularity in low-level vision
tasks, including image super-resolution (SR). These networks utilize
self-attention along different dimensions, spatial or channel, and achieve
impressive performance. This inspires us to combine the two dimensions in
Transformer for a more pow... | 2023-08-07T07:39:39Z | Accepted to ICCV 2023. Code is available at
https://github.com/zhengchen1999/DAT | null | null | Dual Aggregation Transformer for Image Super-Resolution | ['Zheng Chen', 'Yulun Zhang', 'Jinjin Gu', 'L. Kong', 'Xiaokang Yang', 'F. Yu'] | 2,023 | IEEE International Conference on Computer Vision | 189 | 66 | ['Computer Science'] |
2,308.03463 | DiffSynth: Latent In-Iteration Deflickering for Realistic Video
Synthesis | ['Zhongjie Duan', 'Lizhou You', 'Chengyu Wang', 'Cen Chen', 'Ziheng Wu', 'Weining Qian', 'Jun Huang'] | ['cs.CV', 'cs.MM'] | In recent years, diffusion models have emerged as the most powerful approach
in image synthesis. However, applying these models directly to video synthesis
presents challenges, as it often leads to noticeable flickering contents.
Although recently proposed zero-shot methods can alleviate flicker to some
extent, we stil... | 2023-08-07T10:41:52Z | 9 pages, 6 figures | null | null | null | null | null | null | null | null | null |
2,308.03549 | Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language
Model through Expert Feedback and Real-world Multi-turn Dialogue | ['Songhua Yang', 'Hanjie Zhao', 'Senbin Zhu', 'Guangyu Zhou', 'Hongfei Xu', 'Yuxiang Jia', 'Hongying Zan'] | ['cs.CL'] | Recent advances in Large Language Models (LLMs) have achieved remarkable
breakthroughs in understanding and responding to user intents. However, their
performance lag behind general use cases in some expertise domains, such as
Chinese medicine. Existing efforts to incorporate Chinese medicine into LLMs
rely on Supervis... | 2023-08-07T12:56:13Z | null | null | null | Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-world Multi-turn Dialogue | ['Songhua Yang', 'Hanjia Zhao', 'Senbin Zhu', 'Guangyu Zhou', 'Hongfei Xu', 'Yuxiang Jia', 'Hongying Zan'] | 2,023 | AAAI Conference on Artificial Intelligence | 137 | 42 | ['Computer Science'] |
2,308.0361 | AvatarVerse: High-quality & Stable 3D Avatar Creation from Text and Pose | ['Huichao Zhang', 'Bowen Chen', 'Hao Yang', 'Liao Qu', 'Xu Wang', 'Li Chen', 'Chao Long', 'Feida Zhu', 'Kang Du', 'Min Zheng'] | ['cs.CV'] | Creating expressive, diverse and high-quality 3D avatars from highly
customized text descriptions and pose guidance is a challenging task, due to
the intricacy of modeling and texturing in 3D that ensure details and various
styles (realistic, fictional, etc). We present AvatarVerse, a stable pipeline
for generating exp... | 2023-08-07T14:09:46Z | null | null | null | AvatarVerse: High-quality & Stable 3D Avatar Creation from Text and Pose | ['Huichao Zhang', 'Bo Chen', 'Hao Yang', 'Liao Qu', 'Xu Wang', 'Li Chen', 'Chao Long', 'Feida Zhu', 'Kang Du', 'Minghang Zheng'] | 2,023 | AAAI Conference on Artificial Intelligence | 53 | 42 | ['Computer Science'] |
2,308.03712 | Scaling may be all you need for achieving human-level object recognition
capacity with human-like visual experience | ['A. Emin Orhan'] | ['cs.CV', 'cs.LG', 'cs.NE', 'q-bio.NC'] | This paper asks whether current self-supervised learning methods, if
sufficiently scaled up, would be able to reach human-level visual object
recognition capabilities with the same type and amount of visual experience
humans learn from. Previous work on this question only considered the scaling
of data size. Here, we c... | 2023-08-07T16:31:38Z | v2 adds an Appendix containing results with alternative scaling
functions; code & models available from
https://github.com/eminorhan/humanlike-vits | null | null | Scaling may be all you need for achieving human-level object recognition capacity with human-like visual experience | ['Emin Orhan'] | 2,023 | arXiv.org | 3 | 17 | ['Computer Science', 'Biology'] |
2,308.03825 | "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak
Prompts on Large Language Models | ['Xinyue Shen', 'Zeyuan Chen', 'Michael Backes', 'Yun Shen', 'Yang Zhang'] | ['cs.CR', 'cs.LG'] | The misuse of large language models (LLMs) has drawn significant attention
from the general public and LLM vendors. One particular type of adversarial
prompt, known as jailbreak prompt, has emerged as the main attack vector to
bypass the safeguards and elicit harmful content from LLMs. In this paper,
employing our new ... | 2023-08-07T16:55:20Z | null | null | null | null | null | null | null | null | null | null |
2,308.04014 | Continual Pre-Training of Large Language Models: How to (re)warm your
model? | ['Kshitij Gupta', 'Benjamin Thérien', 'Adam Ibrahim', 'Mats L. Richter', 'Quentin Anthony', 'Eugene Belilovsky', 'Irina Rish', 'Timothée Lesort'] | ['cs.CL', 'cs.LG'] | Large language models (LLMs) are routinely pre-trained on billions of tokens,
only to restart the process over again once new data becomes available. A much
cheaper and more efficient solution would be to enable the continual
pre-training of these models, i.e. updating pre-trained models with new data
instead of re-tra... | 2023-08-08T03:18:18Z | null | null | null | null | null | null | null | null | null | null |
2,308.04657 | Which Tokens to Use? Investigating Token Reduction in Vision
Transformers | ['Joakim Bruslund Haurum', 'Sergio Escalera', 'Graham W. Taylor', 'Thomas B. Moeslund'] | ['cs.CV'] | Since the introduction of the Vision Transformer (ViT), researchers have
sought to make ViTs more efficient by removing redundant information in the
processed tokens. While different methods have been explored to achieve this
goal, we still lack understanding of the resulting reduction patterns and how
those patterns d... | 2023-08-09T01:51:07Z | ICCV 2023 NIVT Workshop. Project webpage https://vap.aau.dk/tokens | null | null | null | null | null | null | null | null | null |
2,308.04913 | LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved
Instruction Following | ['Kaize Shi', 'Xueyao Sun', 'Dingxian Wang', 'Yinlin Fu', 'Guandong Xu', 'Qing Li'] | ['cs.CL', 'cs.AI', 'cs.IR'] | E-commerce authoring entails creating engaging, diverse, and targeted content
to enhance preference elicitation and retrieval experience. While Large
Language Models (LLMs) have revolutionized content generation, they often fall
short in e-commerce applications due to their limited memorization of
domain-specific featu... | 2023-08-09T12:26:37Z | null | null | null | LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following | ['Kaize Shi', 'Xueyao Sun', 'Dingxian Wang', 'Yinlin Fu', 'Guandong Xu', 'Qing Li'] | 2,023 | International Conference on Computational Linguistics | 4 | 41 | ['Computer Science'] |
2,308.04948 | Extrapolating Large Language Models to Non-English by Aligning Languages | ['Wenhao Zhu', 'Yunzhe Lv', 'Qingxiu Dong', 'Fei Yuan', 'Jingjing Xu', 'Shujian Huang', 'Lingpeng Kong', 'Jiajun Chen', 'Lei Li'] | ['cs.CL'] | Existing large language models show disparate capability across different
languages, due to the imbalance in the training data. Their performances on
English tasks are often stronger than on tasks of other languages. In this
paper, we empower pre-trained LLMs on non-English languages by building
semantic alignment acro... | 2023-08-09T13:32:06Z | null | null | null | null | null | null | null | null | null | null |
2,308.05725 | EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech
Resynthesis | ['Tu Anh Nguyen', 'Wei-Ning Hsu', "Antony D'Avirro", 'Bowen Shi', 'Itai Gat', 'Maryam Fazel-Zarani', 'Tal Remez', 'Jade Copet', 'Gabriel Synnaeve', 'Michael Hassid', 'Felix Kreuk', 'Yossi Adi', 'Emmanuel Dupoux'] | ['cs.CL', 'cs.LG', 'cs.SD', 'eess.AS'] | Recent work has shown that it is possible to resynthesize high-quality speech
based, not on text, but on low bitrate discrete units that have been learned in
a self-supervised fashion and can therefore capture expressive aspects of
speech that are hard to transcribe (prosody, voice styles, non-verbal
vocalization). The... | 2023-08-10T17:41:19Z | null | null | null | null | null | null | null | null | null | null |
2,308.05734 | AudioLDM 2: Learning Holistic Audio Generation with Self-supervised
Pretraining | ['Haohe Liu', 'Yi Yuan', 'Xubo Liu', 'Xinhao Mei', 'Qiuqiang Kong', 'Qiao Tian', 'Yuping Wang', 'Wenwu Wang', 'Yuxuan Wang', 'Mark D. Plumbley'] | ['cs.SD', 'cs.AI', 'cs.MM', 'eess.AS', 'eess.SP'] | Although audio generation shares commonalities across different types of
audio, such as speech, music, and sound effects, designing models for each type
requires careful consideration of specific objectives and biases that can
significantly differ from those of other types. To bring us closer to a unified
perspective o... | 2023-08-10T17:55:13Z | Accepted by IEEE/ACM Transactions on Audio, Speech and Language
Processing. Project page is https://audioldm.github.io/audioldm2 | null | null | AudioLDM 2: Learning Holistic Audio Generation With Self-Supervised Pretraining | ['Haohe Liu', 'Qiao Tian', 'Yiitan Yuan', 'Xubo Liu', 'Xinhao Mei', 'Qiuqiang Kong', 'Yuping Wang', 'Wenwu Wang', 'Yuxuan Wang', 'Mark D. Plumbley'] | 2,023 | IEEE/ACM Transactions on Audio Speech and Language Processing | 247 | 100 | ['Computer Science', 'Engineering'] |
2,308.05884 | PIPPA: A Partially Synthetic Conversational Dataset | ['Tear Gosling', 'Alpin Dale', 'Yinhe Zheng'] | ['cs.CL'] | With the emergence of increasingly powerful large language models, there is a
burgeoning interest in leveraging these models for casual conversation and
role-play applications. However, existing conversational and role-playing
datasets often fail to capture the diverse and nuanced interactions typically
exhibited by re... | 2023-08-11T00:33:26Z | 13 pages, 5 figures | null | null | PIPPA: A Partially Synthetic Conversational Dataset | ['Tear Gosling', 'Alpin Dale', 'Yinhe Zheng'] | 2,023 | arXiv.org | 7 | 17 | ['Computer Science'] |
2,308.06259 | Self-Alignment with Instruction Backtranslation | ['Xian Li', 'Ping Yu', 'Chunting Zhou', 'Timo Schick', 'Omer Levy', 'Luke Zettlemoyer', 'Jason Weston', 'Mike Lewis'] | ['cs.CL'] | We present a scalable method to build a high quality instruction following
language model by automatically labelling human-written text with corresponding
instructions. Our approach, named instruction backtranslation, starts with a
language model finetuned on a small amount of seed data, and a given web
corpus. The see... | 2023-08-11T17:47:54Z | ICLR2024 camera ready | null | null | null | null | null | null | null | null | null |
2,308.06502 | Three Ways of Using Large Language Models to Evaluate Chat | ['Ondřej Plátek', 'Vojtěch Hudeček', 'Patricia Schmidtová', 'Mateusz Lango', 'Ondřej Dušek'] | ['cs.CL', 'cs.AI'] | This paper describes the systems submitted by team6 for ChatEval, the DSTC 11
Track 4 competition. We present three different approaches to predicting
turn-level qualities of chatbot responses based on large language models
(LLMs). We report improvement over the baseline using dynamic few-shot examples
from a vector st... | 2023-08-12T08:34:15Z | Accepted to DSTC11 workshop https://dstc11.dstc.community/ | null | null | null | null | null | null | null | null | null |
2,308.06571 | ModelScope Text-to-Video Technical Report | ['Jiuniu Wang', 'Hangjie Yuan', 'Dayou Chen', 'Yingya Zhang', 'Xiang Wang', 'Shiwei Zhang'] | ['cs.CV', 'cs.AI'] | This paper introduces ModelScopeT2V, a text-to-video synthesis model that
evolves from a text-to-image synthesis model (i.e., Stable Diffusion).
ModelScopeT2V incorporates spatio-temporal blocks to ensure consistent frame
generation and smooth movement transitions. The model could adapt to varying
frame numbers during ... | 2023-08-12T13:53:10Z | Technical report. Project page:
\url{https://modelscope.cn/models/damo/text-to-video-synthesis/summary} | null | null | null | null | null | null | null | null | null |
2,308.0661 | Bio-SIEVE: Exploring Instruction Tuning Large Language Models for
Systematic Review Automation | ['Ambrose Robinson', 'William Thorne', 'Ben P. Wu', 'Abdullah Pandor', 'Munira Essat', 'Mark Stevenson', 'Xingyi Song'] | ['cs.CL', 'cs.AI'] | Medical systematic reviews can be very costly and resource intensive. We
explore how Large Language Models (LLMs) can support and be trained to perform
literature screening when provided with a detailed set of selection criteria.
Specifically, we instruction tune LLaMA and Guanaco models to perform abstract
screening f... | 2023-08-12T16:56:55Z | null | null | null | Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation | ['Ambrose Robinson', 'William Thorne', 'Ben Wu', 'A. Pandor', 'M. Essat', 'Mark Stevenson', 'Xingyi Song'] | 2,023 | arXiv.org | 8 | 47 | ['Computer Science'] |
2,308.06693 | Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation | ['Yichen Yuan', 'Yifan Wang', 'Lijun Wang', 'Xiaoqi Zhao', 'Huchuan Lu', 'Yu Wang', 'Weibo Su', 'Lei Zhang'] | ['cs.CV'] | Recent leading zero-shot video object segmentation (ZVOS) works devote to
integrating appearance and motion information by elaborately designing feature
fusion modules and identically applying them in multiple feature stages. Our
preliminary experiments show that with the strong long-range dependency
modeling capacity ... | 2023-08-13T06:12:00Z | ICCV2023 | null | null | Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation | ['Yichen Yuan', 'Yifan Wang', 'Lijun Wang', 'Xiaoqi Zhao', 'Huchuan Lu', 'Yu Wang', 'Wei Su', 'Lei Zhang'] | 2,023 | IEEE International Conference on Computer Vision | 11 | 74 | ['Computer Science'] |
2,308.06721 | IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image
Diffusion Models | ['Hu Ye', 'Jun Zhang', 'Sibo Liu', 'Xiao Han', 'Wei Yang'] | ['cs.CV', 'cs.AI'] | Recent years have witnessed the strong power of large text-to-image diffusion
models for the impressive generative capability to create high-fidelity images.
However, it is very tricky to generate desired images using only text prompt as
it often involves complex prompt engineering. An alternative to text prompt is
ima... | 2023-08-13T08:34:51Z | null | null | null | null | null | null | null | null | null | null |
2,308.07026 | AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal
Contrastive Learning | ['Ziqi Zhou', 'Shengshan Hu', 'Minghui Li', 'Hangtao Zhang', 'Yechao Zhang', 'Hai Jin'] | ['cs.CV'] | Multimodal contrastive learning aims to train a general-purpose feature
extractor, such as CLIP, on vast amounts of raw, unlabeled paired image-text
data. This can greatly benefit various complex downstream tasks, including
cross-modal image-text retrieval and image classification. Despite its
promising prospect, the s... | 2023-08-14T09:29:22Z | This paper has been accepted by the ACM International Conference on
Multimedia (ACM MM '23, October 29-November 3, 2023, Ottawa, ON, Canada) | null | null | null | null | null | null | null | null | null |
2,308.07037 | Bayesian Flow Networks | ['Alex Graves', 'Rupesh Kumar Srivastava', 'Timothy Atkinson', 'Faustino Gomez'] | ['cs.LG', 'cs.AI'] | This paper introduces Bayesian Flow Networks (BFNs), a new class of
generative model in which the parameters of a set of independent distributions
are modified with Bayesian inference in the light of noisy data samples, then
passed as input to a neural network that outputs a second, interdependent
distribution. Startin... | 2023-08-14T09:56:35Z | null | null | null | Bayesian Flow Networks | ['Alex Graves', 'R. Srivastava', 'Timothy James Atkinson', 'Faustino J. Gomez'] | 2,023 | arXiv.org | 45 | 50 | ['Computer Science'] |
2,308.07074 | #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of
Large Language Models | ['Keming Lu', 'Hongyi Yuan', 'Zheng Yuan', 'Runji Lin', 'Junyang Lin', 'Chuanqi Tan', 'Chang Zhou', 'Jingren Zhou'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Foundation language models obtain the instruction-following ability through
supervised fine-tuning (SFT). Diversity and complexity are considered critical
factors of a successful SFT dataset, while their definitions remain obscure and
lack quantitative analyses. In this work, we propose InsTag, an open-set
fine-grained... | 2023-08-14T11:16:28Z | null | null | null | #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models | ['K. Lu', 'Hongyi Yuan', 'Zheng Yuan', 'Runji Lin', 'Junyang Lin', 'Chuanqi Tan', 'Chang Zhou'] | 2,023 | International Conference on Learning Representations | 77 | 43 | ['Computer Science'] |
2,308.07124 | OctoPack: Instruction Tuning Code Large Language Models | ['Niklas Muennighoff', 'Qian Liu', 'Armel Zebaze', 'Qinkai Zheng', 'Binyuan Hui', 'Terry Yue Zhuo', 'Swayam Singh', 'Xiangru Tang', 'Leandro von Werra', 'Shayne Longpre'] | ['cs.CL', 'cs.AI'] | Finetuning large language models (LLMs) on instructions leads to vast
performance improvements on natural language tasks. We apply instruction tuning
using code, leveraging the natural structure of Git commits, which pair code
changes with human instructions. We compile CommitPack: 4 terabytes of Git
commits across 350... | 2023-08-14T13:53:54Z | 60 pages (9 main), 40 figures, 19 tables | null | null | OctoPack: Instruction Tuning Code Large Language Models | ['Niklas Muennighoff', 'Qian Liu', 'Qi Liu', 'A. Zebaze', 'Qinkai Zheng', 'Binyuan Hui', 'Terry Yue Zhuo', 'Swayam Singh', 'Xiangru Tang', 'L. V. Werra', 'S. Longpre'] | 2,023 | International Conference on Learning Representations | 140 | 168 | ['Computer Science'] |
2,308.07136 | Pairing interacting protein sequences using masked language modeling | ['Umberto Lupo', 'Damiano Sgarbossa', 'Anne-Florence Bitbol'] | ['q-bio.BM', 'cs.LG', '68T07, 68T50, 92-08, 92B20', 'J.3; I.2.7'] | Predicting which proteins interact together from amino-acid sequences is an
important task. We develop a method to pair interacting protein sequences which
leverages the power of protein language models trained on multiple sequence
alignments, such as MSA Transformer and the EvoFormer module of AlphaFold. We
formulate ... | 2023-08-14T13:42:09Z | 33 pages, 14 figures, 2 tables | Proc. Natl. Acad. Sci. U.S.A. 121(27): e2311887121 (2024) | 10.1073/pnas.231188712 | null | null | null | null | null | null | null |
2,308.07317 | Platypus: Quick, Cheap, and Powerful Refinement of LLMs | ['Ariel N. Lee', 'Cole J. Hunter', 'Nataniel Ruiz'] | ['cs.CL'] | We present $\textbf{Platypus}$, a family of fine-tuned and merged Large
Language Models (LLMs) that achieves the strongest performance and currently
stands at first place in HuggingFace's Open LLM Leaderboard as of the release
date of this work. In this work we describe (1) our curated dataset
$\textbf{Open-Platypus}$,... | 2023-08-14T17:59:56Z | Workshop on Instruction Tuning and Instruction Following at NeurIPS
2023 | null | null | null | null | null | null | null | null | null |
2,308.07655 | From Commit Message Generation to History-Aware Commit Message
Completion | ['Aleksandra Eliseeva', 'Yaroslav Sokolov', 'Egor Bogomolov', 'Yaroslav Golubev', 'Danny Dig', 'Timofey Bryksin'] | ['cs.SE', 'cs.LG'] | Commit messages are crucial to software development, allowing developers to
track changes and collaborate effectively. Despite their utility, most commit
messages lack important information since writing high-quality commit messages
is tedious and time-consuming. The active research on commit message generation
(CMG) h... | 2023-08-15T09:10:49Z | Accepted to ASE'23. 13 pages, 5 figures | null | null | From Commit Message Generation to History-Aware Commit Message Completion | ['Aleksandra V. Eliseeva', 'Yaroslav Sokolov', 'Egor Bogomolov', 'Yaroslav Golubev', 'Danny Dig', 'T. Bryksin'] | 2,023 | International Conference on Automated Software Engineering | 20 | 71 | ['Computer Science'] |
2,308.07662 | Gradient-Based Post-Training Quantization: Challenging the Status Quo | ['Edouard Yvinec', 'Arnaud Dapogny', 'Kevin Bailly'] | ['cs.LG', 'cs.CV'] | Quantization has become a crucial step for the efficient deployment of deep
neural networks, where floating point operations are converted to simpler fixed
point operations. In its most naive form, it simply consists in a combination
of scaling and rounding transformations, leading to either a limited
compression rate ... | 2023-08-15T09:25:11Z | null | null | null | null | null | null | null | null | null | null |
2,308.07891 | Link-Context Learning for Multimodal LLMs | ['Yan Tai', 'Weichen Fan', 'Zhao Zhang', 'Feng Zhu', 'Rui Zhao', 'Ziwei Liu'] | ['cs.CV', 'cs.CL'] | The ability to learn from context with novel concepts, and deliver
appropriate responses are essential in human conversations. Despite current
Multimodal Large Language Models (MLLMs) and Large Language Models (LLMs) being
trained on mega-scale datasets, recognizing unseen images or understanding
novel concepts in a tr... | 2023-08-15T17:33:24Z | 10 pages, 8 figures | null | null | Link-Context Learning for Multimodal LLMs | ['Yan Tai', 'Weichen Fan', 'Zhao Zhang', 'Feng Zhu', 'Rui Zhao', 'Ziwei Liu'] | 2,023 | Computer Vision and Pattern Recognition | 19 | 37 | ['Computer Science'] |
2,308.07898 | A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert
Knowledge in Text Supervision | ['Julio Silva-Rodríguez', 'Hadi Chakor', 'Riadh Kobbi', 'Jose Dolz', 'Ismail Ben Ayed'] | ['cs.CV'] | Foundation vision-language models are currently transforming computer vision,
and are on the rise in medical imaging fueled by their very promising
generalization capabilities. However, the initial attempts to transfer this new
paradigm to medical imaging have shown less impressive performances than those
observed in o... | 2023-08-15T17:39:52Z | Accepted in Medical Image Analysis. The pre-trained model is
available at: https://github.com/jusiro/FLAIR | null | 10.1016/j.media.2024.103357 | null | null | null | null | null | null | null |
2,308.08089 | DragNUWA: Fine-grained Control in Video Generation by Integrating Text,
Image, and Trajectory | ['Shengming Yin', 'Chenfei Wu', 'Jian Liang', 'Jie Shi', 'Houqiang Li', 'Gong Ming', 'Nan Duan'] | ['cs.CV'] | Controllable video generation has gained significant attention in recent
years. However, two main limitations persist: Firstly, most existing works
focus on either text, image, or trajectory-based control, leading to an
inability to achieve fine-grained control in videos. Secondly, trajectory
control research is still ... | 2023-08-16T01:43:41Z | null | null | null | DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory | ['Sheng-Siang Yin', 'Chenfei Wu', 'Jian Liang', 'Jie Shi', 'Houqiang Li', 'Gong Ming', 'Nan Duan'] | 2,023 | arXiv.org | 145 | 31 | ['Computer Science'] |
2,308.08155 | AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation | ['Qingyun Wu', 'Gagan Bansal', 'Jieyu Zhang', 'Yiran Wu', 'Beibin Li', 'Erkang Zhu', 'Li Jiang', 'Xiaoyun Zhang', 'Shaokun Zhang', 'Jiale Liu', 'Ahmed Hassan Awadallah', 'Ryen W White', 'Doug Burger', 'Chi Wang'] | ['cs.AI', 'cs.CL'] | AutoGen is an open-source framework that allows developers to build LLM
applications via multiple agents that can converse with each other to
accomplish tasks. AutoGen agents are customizable, conversable, and can operate
in various modes that employ combinations of LLMs, human inputs, and tools.
Using AutoGen, develop... | 2023-08-16T05:57:52Z | 43 pages (10 pages for the main text, 3 pages for references, and 30
pages for appendices) | null | null | null | null | null | null | null | null | null |
2,308.08239 | MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain
Conversation | ['Junru Lu', 'Siyu An', 'Mingbao Lin', 'Gabriele Pergola', 'Yulan He', 'Di Yin', 'Xing Sun', 'Yunsheng Wu'] | ['cs.CL'] | We propose MemoChat, a pipeline for refining instructions that enables large
language models (LLMs) to effectively employ self-composed memos for
maintaining consistent long-range open-domain conversations. We demonstrate a
long-range open-domain conversation through iterative
"memorization-retrieval-response" cycles. ... | 2023-08-16T09:15:18Z | null | null | null | null | null | null | null | null | null | null |
2,308.08295 | CMD: a framework for Context-aware Model self-Detoxification | ['Zecheng Tang', 'Keyan Zhou', 'Juntao Li', 'Yuyang Ding', 'Pinzheng Wang', 'Bowen Yan', 'Rejie Hua', 'Min Zhang'] | ['cs.CL'] | Text detoxification aims to minimize the risk of language models producing
toxic content. Existing detoxification methods of directly constraining the
model output or further training the model on the non-toxic corpus fail to
achieve a decent balance between detoxification effectiveness and generation
quality. This iss... | 2023-08-16T11:50:38Z | null | null | null | null | null | null | null | null | null | null |
2,308.08625 | BIOptimus: Pre-training an Optimal Biomedical Language Model with
Curriculum Learning for Named Entity Recognition | ['Pavlova Vera', 'Mohammed Makhlouf'] | ['cs.CL'] | Using language models (LMs) pre-trained in a self-supervised setting on large
corpora and then fine-tuning for a downstream task has helped to deal with the
problem of limited label data for supervised learning tasks such as Named
Entity Recognition (NER). Recent research in biomedical language processing has
offered a... | 2023-08-16T18:48:01Z | null | https://aclanthology.org/2023.bionlp-1.31/ | null | null | null | null | null | null | null | null |
2,308.08708 | Consciousness in Artificial Intelligence: Insights from the Science of
Consciousness | ['Patrick Butlin', 'Robert Long', 'Eric Elmoznino', 'Yoshua Bengio', 'Jonathan Birch', 'Axel Constant', 'George Deane', 'Stephen M. Fleming', 'Chris Frith', 'Xu Ji', 'Ryota Kanai', 'Colin Klein', 'Grace Lindsay', 'Matthias Michel', 'Liad Mudrik', 'Megan A. K. Peters', 'Eric Schwitzgebel', 'Jonathan Simon', 'Rufin VanRu... | ['cs.AI', 'cs.CY', 'cs.LG', 'q-bio.NC'] | Whether current or near-term AI systems could be conscious is a topic of
scientific interest and increasing public concern. This report argues for, and
exemplifies, a rigorous and empirically grounded approach to AI consciousness:
assessing existing AI systems in detail, in light of our best-supported
neuroscientific t... | 2023-08-17T00:10:16Z | null | null | null | null | null | null | null | null | null | null |
2,308.08796 | Chinese Spelling Correction as Rephrasing Language Model | ['Linfeng Liu', 'Hongqiu Wu', 'Hai Zhao'] | ['cs.CL'] | This paper studies Chinese Spelling Correction (CSC), which aims to detect
and correct the potential spelling errors in a given sentence. Current
state-of-the-art methods regard CSC as a sequence tagging task and fine-tune
BERT-based models on sentence pairs. However, we note a critical flaw in the
process of tagging o... | 2023-08-17T06:04:28Z | Accepted by AAAI'2024 | null | null | null | null | null | null | null | null | null |
2,308.08827 | Factuality Detection using Machine Translation -- a Use Case for German
Clinical Text | ['Mohammed Bin Sumait', 'Aleksandra Gabryszak', 'Leonhard Hennig', 'Roland Roller'] | ['cs.CL'] | Factuality can play an important role when automatically processing clinical
text, as it makes a difference if particular symptoms are explicitly not
present, possibly present, not mentioned, or affirmed. In most cases, a
sufficient number of examples is necessary to handle such phenomena in a
supervised machine learni... | 2023-08-17T07:24:06Z | Accepted at KONVENS 2023 | null | null | Factuality Detection using Machine Translation – a Use Case for German Clinical Text | ['Mohammed Mustafa Ahmed Bin Sumait', 'Aleksandra Gabryszak', 'Leonhard Hennig', 'Roland Roller'] | 2,023 | Conference on Natural Language Processing | 0 | 37 | ['Computer Science'] |
2,308.08926 | Explicit Estimation of Magnitude and Phase Spectra in Parallel for
High-Quality Speech Enhancement | ['Ye-Xin Lu', 'Yang Ai', 'Zhen-Hua Ling'] | ['eess.AS', 'cs.SD'] | Phase information has a significant impact on speech perceptual quality and
intelligibility. However, existing speech enhancement methods encounter
limitations in explicit phase estimation due to the non-structural nature and
wrapping characteristics of the phase, leading to a bottleneck in enhanced
speech quality. To ... | 2023-08-17T11:37:52Z | Submmited to IEEE Transactions on Audio, Speech and Language
Processing | null | null | null | null | null | null | null | null | null |
2,308.08998 | Reinforced Self-Training (ReST) for Language Modeling | ['Caglar Gulcehre', 'Tom Le Paine', 'Srivatsan Srinivasan', 'Ksenia Konyushkova', 'Lotte Weerts', 'Abhishek Sharma', 'Aditya Siddhant', 'Alex Ahern', 'Miaosen Wang', 'Chenjie Gu', 'Wolfgang Macherey', 'Arnaud Doucet', 'Orhan Firat', 'Nando de Freitas'] | ['cs.CL', 'cs.LG'] | Reinforcement learning from human feedback (RLHF) can improve the quality of
large language model's (LLM) outputs by aligning them with human preferences.
We propose a simple algorithm for aligning LLMs with human preferences inspired
by growing batch reinforcement learning (RL), which we call Reinforced
Self-Training ... | 2023-08-17T14:12:48Z | 23 pages, 16 figures | null | null | null | null | null | null | null | null | null |
2,308.09126 | EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language
Understanding | ['Karttikeya Mangalam', 'Raiymbek Akshulakov', 'Jitendra Malik'] | ['cs.CV', 'cs.AI', 'cs.CL'] | We introduce EgoSchema, a very long-form video question-answering dataset,
and benchmark to evaluate long video understanding capabilities of modern
vision and language systems. Derived from Ego4D, EgoSchema consists of over
5000 human curated multiple choice question answer pairs, spanning over 250
hours of real video... | 2023-08-17T17:59:59Z | https://egoschema.github.io/ | null | null | null | null | null | null | null | null | null |
2,308.09435 | A Methodology for Generative Spelling Correction via Natural Spelling
Errors Emulation across Multiple Domains and Languages | ['Nikita Martynov', 'Mark Baushenko', 'Anastasia Kozlova', 'Katerina Kolomeytseva', 'Aleksandr Abramov', 'Alena Fenogenova'] | ['cs.CL'] | Modern large language models demonstrate impressive capabilities in text
generation and generalization. However, they often struggle with solving text
editing tasks, particularly when it comes to correcting spelling errors and
mistypings. In this paper, we present a methodology for generative spelling
correction (SC), ... | 2023-08-18T10:07:28Z | to appear in EACL 2024 | null | null | A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and Languages | ['Nikita Martynov', 'Mark Baushenko', 'A. Kozlova', 'Katerina Kolomeytseva', 'Aleksandr Abramov', 'Alena Fenogenova'] | 2,023 | Findings | 4 | 49 | ['Computer Science'] |
2,308.09442 | BioMedGPT: Open Multimodal Generative Pre-trained Transformer for
BioMedicine | ['Yizhen Luo', 'Jiahuan Zhang', 'Siqi Fan', 'Kai Yang', 'Yushuai Wu', 'Mu Qiao', 'Zaiqing Nie'] | ['cs.CE'] | Foundation models (FMs) have exhibited remarkable performance across a wide
range of downstream tasks in many domains. Nevertheless, general-purpose FMs
often face challenges when confronted with domain-specific problems, due to
their limited access to the proprietary training data in a particular domain.
In biomedicin... | 2023-08-18T10:14:35Z | 12 pages, 4 figures | null | null | BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine | ['Yi Luo', 'Jiahuan Zhang', 'Siqi Fan', 'Kai Yang', 'Yushuai Wu', 'Mu Qiao', 'Zaiqing Nie'] | 2,023 | arXiv.org | 90 | 34 | ['Computer Science'] |
2,308.09583 | WizardMath: Empowering Mathematical Reasoning for Large Language Models
via Reinforced Evol-Instruct | ['Haipeng Luo', 'Qingfeng Sun', 'Can Xu', 'Pu Zhao', 'Jianguang Lou', 'Chongyang Tao', 'Xiubo Geng', 'Qingwei Lin', 'Shifeng Chen', 'Yansong Tang', 'Dongmei Zhang'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Large language models (LLMs), such as GPT-4, have shown remarkable
performance in natural language processing (NLP) tasks, including challenging
mathematical reasoning. However, most existing open-source models are only
pre-trained on large-scale internet data and without math-related optimization.
In this paper, we pr... | 2023-08-18T14:23:21Z | This paper has been accepted to ICLR 2025 as an Oral presentation | null | null | null | null | null | null | null | null | null |
2,308.09662 | Red-Teaming Large Language Models using Chain of Utterances for
Safety-Alignment | ['Rishabh Bhardwaj', 'Soujanya Poria'] | ['cs.CL'] | Larger language models (LLMs) have taken the world by storm with their
massive multi-tasking capabilities simply by optimizing over a next-word
prediction objective. With the emergence of their properties and encoded
knowledge, the risk of LLMs producing harmful outputs increases, making them
unfit for scalable deploym... | 2023-08-18T16:27:04Z | null | null | null | null | null | null | null | null | null | null |
2,308.09716 | Diff2Lip: Audio Conditioned Diffusion Models for Lip-Synchronization | ['Soumik Mukhopadhyay', 'Saksham Suri', 'Ravi Teja Gadde', 'Abhinav Shrivastava'] | ['cs.CV', 'cs.AI'] | The task of lip synchronization (lip-sync) seeks to match the lips of human
faces with different audio. It has various applications in the film industry as
well as for creating virtual avatars and for video conferencing. This is a
challenging problem as one needs to simultaneously introduce detailed,
realistic lip move... | 2023-08-18T17:59:40Z | Website: see https://soumik-kanad.github.io/diff2lip . Submission
under review | null | null | null | null | null | null | null | null | null |
2,308.09891 | SwinLSTM:Improving Spatiotemporal Prediction Accuracy using Swin
Transformer and LSTM | ['Song Tang', 'Chuang Li', 'Pu Zhang', 'RongNian Tang'] | ['cs.CV', 'cs.AI'] | Integrating CNNs and RNNs to capture spatiotemporal dependencies is a
prevalent strategy for spatiotemporal prediction tasks. However, the property
of CNNs to learn local spatial information decreases their efficiency in
capturing spatiotemporal dependencies, thereby limiting their prediction
accuracy. In this paper, w... | 2023-08-19T03:08:28Z | This paper has been accepted by ICCV 2023 | null | null | SwinLSTM: Improving Spatiotemporal Prediction Accuracy using Swin Transformer and LSTM | ['Song Tang', 'Chuang Li', 'Pufen Zhang', 'R. Tang'] | 2,023 | IEEE International Conference on Computer Vision | 51 | 44 | ['Computer Science'] |
2,308.09892 | Utilizing Semantic Textual Similarity for Clinical Survey Data Feature
Selection | ['Benjamin C. Warner', 'Ziqi Xu', 'Simon Haroutounian', 'Thomas Kannampallil', 'Chenyang Lu'] | ['cs.CL', 'cs.LG'] | Survey data can contain a high number of features while having a
comparatively low quantity of examples. Machine learning models that attempt to
predict outcomes from survey data under these conditions can overfit and result
in poor generalizability. One remedy to this issue is feature selection, which
attempts to sele... | 2023-08-19T03:10:51Z | null | null | null | Utilizing Semantic Textual Similarity for Clinical Survey Data Feature Selection | ['Benjamin C. Warner', 'Ziqi Xu', 'S. Haroutounian', 'T. Kannampallil', 'Chenyang Lu'] | 2,023 | arXiv.org | 2 | 53 | ['Computer Science'] |
2,308.09895 | Knowledge Transfer from High-Resource to Low-Resource Programming
Languages for Code LLMs | ['Federico Cassano', 'John Gouwar', 'Francesca Lucchetti', 'Claire Schlesinger', 'Anders Freeman', 'Carolyn Jane Anderson', 'Molly Q Feldman', 'Michael Greenberg', 'Abhinav Jangda', 'Arjun Guha'] | ['cs.PL', 'cs.LG'] | Over the past few years, Large Language Models of Code (Code LLMs) have
started to have a significant impact on programming practice. Code LLMs are
also emerging as building blocks for research in programming languages and
software engineering. However, Code LLMs produce impressive results on
programming languages that... | 2023-08-19T03:19:01Z | null | null | null | null | null | null | null | null | null | null |
2,308.09991 | AltDiffusion: A Multilingual Text-to-Image Diffusion Model | ['Fulong Ye', 'Guang Liu', 'Xinya Wu', 'Ledell Wu'] | ['cs.CV'] | Large Text-to-Image(T2I) diffusion models have shown a remarkable capability
to produce photorealistic and diverse images based on text inputs. However,
existing works only support limited language input, e.g., English, Chinese, and
Japanese, leaving users beyond these languages underserved and blocking the
global expa... | 2023-08-19T11:52:12Z | 15 pages; 17 figures | null | null | null | null | null | null | null | null | null |
2,308.10092 | Open, Closed, or Small Language Models for Text Classification? | ['Hao Yu', 'Zachary Yang', 'Kellin Pelrine', 'Jean Francois Godbout', 'Reihaneh Rabbany'] | ['cs.CL', 'cs.AI'] | Recent advancements in large language models have demonstrated remarkable
capabilities across various NLP tasks. But many questions remain, including
whether open-source models match closed ones, why these models excel or
struggle with certain tasks, and what types of practical procedures can improve
performance. We ad... | 2023-08-19T18:58:32Z | 14 pages, 15 Tables, 1 Figure | null | null | Open, Closed, or Small Language Models for Text Classification? | ['Hao Yu', 'Zachary Yang', 'Kellin Pelrine', 'J. Godbout', 'Reihaneh Rabbany'] | 2,023 | arXiv.org | 36 | 51 | ['Computer Science'] |
2,308.10526 | UbiPhysio: Support Daily Functioning, Fitness, and Rehabilitation with
Action Understanding and Feedback in Natural Language | ['Chongyang Wang', 'Yuan Feng', 'Lingxiao Zhong', 'Siyi Zhu', 'Chi Zhang', 'Siqi Zheng', 'Chen Liang', 'Yuntao Wang', 'Chengqi He', 'Chun Yu', 'Yuanchun Shi'] | ['cs.HC'] | We introduce UbiPhysio, a milestone framework that delivers fine-grained
action description and feedback in natural language to support people's daily
functioning, fitness, and rehabilitation activities. This expert-like
capability assists users in properly executing actions and maintaining
engagement in remote fitness... | 2023-08-21T07:26:05Z | Accepted by IMWUT/Ubicomp'24 | null | null | UbiPhysio | ['Chongyang Wang', 'Yuan Feng', 'L. Zhong', 'Siyi Zhu', 'Chi Zhang', 'Siqi Zheng', 'Chen Liang', 'Yuntao Wang', 'Chen-Jun He', 'Chun Yu', 'Yuanchun Shi'] | 2,023 | Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies | 6 | 72 | ['Computer Science'] |
2,308.10529 | SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence
Understanding | ['Tianyu Yu', 'Chengyue Jiang', 'Chao Lou', 'Shen Huang', 'Xiaobin Wang', 'Wei Liu', 'Jiong Cai', 'Yangning Li', 'Yinghui Li', 'Kewei Tu', 'Hai-Tao Zheng', 'Ningyu Zhang', 'Pengjun Xie', 'Fei Huang', 'Yong Jiang'] | ['cs.CL'] | Large language models (LLMs) have shown impressive ability for open-domain
NLP tasks. However, LLMs are sometimes too footloose for natural language
understanding (NLU) tasks which always have restricted output and input format.
Their performances on NLU tasks are highly related to prompts or demonstrations
and are sho... | 2023-08-21T07:31:19Z | Initial version of SeqGPT | null | null | null | null | null | null | null | null | null |
2,308.10564 | Software Entity Recognition with Noise-Robust Learning | ['Tai Nguyen', 'Yifeng Di', 'Joohan Lee', 'Muhao Chen', 'Tianyi Zhang'] | ['cs.SE', 'cs.CL'] | Recognizing software entities such as library names from free-form text is
essential to enable many software engineering (SE) technologies, such as
traceability link recovery, automated documentation, and API recommendation.
While many approaches have been proposed to address this problem, they suffer
from small entity... | 2023-08-21T08:41:46Z | ASE 2023 | null | null | null | null | null | null | null | null | null |
2,308.10592 | BAN-PL: a Novel Polish Dataset of Banned Harmful and Offensive Content
from Wykop.pl web service | ['Anna Kołos', 'Inez Okulska', 'Kinga Głąbińska', 'Agnieszka Karlińska', 'Emilia Wiśnios', 'Paweł Ellerik', 'Andrzej Prałat'] | ['cs.CL'] | Since the Internet is flooded with hate, it is one of the main tasks for NLP
experts to master automated online content moderation. However, advancements in
this field require improved access to publicly available accurate and
non-synthetic datasets of social media content. For the Polish language, such
resources are v... | 2023-08-21T09:47:31Z | Accepted for LREC-COLING 2024 Conference | null | null | null | null | null | null | null | null | null |
2,308.10882 | Giraffe: Adventures in Expanding Context Lengths in LLMs | ['Arka Pal', 'Deep Karkhanis', 'Manley Roberts', 'Samuel Dooley', 'Arvind Sundararajan', 'Siddartha Naidu'] | ['cs.AI', 'cs.CL'] | Modern large language models (LLMs) that rely on attention mechanisms are
typically trained with fixed context lengths which enforce upper limits on the
length of input sequences that they can handle at evaluation time. To use these
models on sequences longer than the train-time context length, one might employ
techniq... | 2023-08-21T17:30:16Z | null | null | null | Giraffe: Adventures in Expanding Context Lengths in LLMs | ['Arka Pal', 'Deep Karkhanis', 'Manley Roberts', 'Samuel Dooley', 'A. Sundararajan', 'Siddartha Naidu'] | 2,023 | arXiv.org | 40 | 25 | ['Computer Science'] |
2,308.1138 | Convoifilter: A case study of doing cocktail party speech recognition | ['Thai-Binh Nguyen', 'Alexander Waibel'] | ['cs.SD', 'cs.CL', 'eess.AS'] | This paper presents an end-to-end model designed to improve automatic speech
recognition (ASR) for a particular speaker in a crowded, noisy environment. The
model utilizes a single-channel speech enhancement module that isolates the
speaker's voice from background noise (ConVoiFilter) and an ASR module. The
model can d... | 2023-08-22T12:09:30Z | Accepted at HSCMA 2024 | null | null | null | null | null | null | null | null | null |
2,308.11408 | MatFuse: Controllable Material Generation with Diffusion Models | ['Giuseppe Vecchio', 'Renato Sortino', 'Simone Palazzo', 'Concetto Spampinato'] | ['cs.CV', 'cs.GR'] | Creating high-quality materials in computer graphics is a challenging and
time-consuming task, which requires great expertise. To simplify this process,
we introduce MatFuse, a unified approach that harnesses the generative power of
diffusion models for creation and editing of 3D materials. Our method
integrates multip... | 2023-08-22T12:54:48Z | null | null | 10.1109/CVPR52733.2024.00424 | null | null | null | null | null | null | null |
2,308.11509 | SwinFace: A Multi-task Transformer for Face Recognition, Expression
Recognition, Age Estimation and Attribute Estimation | ['Lixiong Qin', 'Mei Wang', 'Chao Deng', 'Ke Wang', 'Xi Chen', 'Jiani Hu', 'Weihong Deng'] | ['cs.CV'] | In recent years, vision transformers have been introduced into face
recognition and analysis and have achieved performance breakthroughs. However,
most previous methods generally train a single model or an ensemble of models
to perform the desired task, which ignores the synergy among different tasks
and fails to achie... | 2023-08-22T15:38:39Z | null | null | 10.1109/TCSVT.2023.3304724 | null | null | null | null | null | null | null |
2,308.11596 | SeamlessM4T: Massively Multilingual & Multimodal Machine Translation | ['Seamless Communication', 'Loïc Barrault', 'Yu-An Chung', 'Mariano Cora Meglioli', 'David Dale', 'Ning Dong', 'Paul-Ambroise Duquenne', 'Hady Elsahar', 'Hongyu Gong', 'Kevin Heffernan', 'John Hoffman', 'Christopher Klaiber', 'Pengwei Li', 'Daniel Licht', 'Jean Maillard', 'Alice Rakotoarison', 'Kaushik Ram Sadagopan', ... | ['cs.CL', 'I.2.7'] | What does it take to create the Babel Fish, a tool that can help individuals
translate speech between any two languages? While recent breakthroughs in
text-based models have pushed machine translation coverage beyond 200
languages, unified speech-to-speech translation models have yet to achieve
similar strides. More sp... | 2023-08-22T17:44:18Z | null | null | null | SeamlessM4T: Massively Multilingual&Multimodal Machine Translation | ['Seamless Communication', 'Loïc Barrault', 'Yu-An Chung', 'Mariano Cora Meglioli', 'David Dale', 'Ning Dong', 'Paul-Ambroise Duquenne', 'Hady ElSahar', 'Hongyu Gong', 'Kevin Heffernan', 'John Hoffman', 'Christopher Klaiber', 'Peng Li', 'Daniel Licht', 'Jean Maillard', 'Alice Rakotoarison', 'Kaushik Ram Sadagopan', 'Gu... | 2,023 | null | 97 | 0 | ['Computer Science'] |
2,308.11878 | Cabrita: closing the gap for foreign languages | ['Celio Larcher', 'Marcos Piau', 'Paulo Finardi', 'Pedro Gengo', 'Piero Esposito', 'Vinicius Caridá'] | ['cs.CL', 'cs.AI', 'cs.LG'] | The strategy of training the model from scratch in a specific language or
domain serves two essential purposes: i) enhancing performance in the
particular linguistic or domain context, and ii) ensuring effective
tokenization. The main limitation inherent to this approach lies in the
associated cost, which can reach six... | 2023-08-23T02:49:35Z | 9 pages, 1 figure | null | null | Cabrita: closing the gap for foreign languages | ['Celio H. N. Larcher', 'Marcos Piau', 'Paulo Finardi', 'P. Gengo', 'P. Esposito', "Vinicius Carid'a"] | 2,023 | arXiv.org | 21 | 29 | ['Computer Science'] |
2,308.11957 | CED: Consistent ensemble distillation for audio tagging | ['Heinrich Dinkel', 'Yongqing Wang', 'Zhiyong Yan', 'Junbo Zhang', 'Yujun Wang'] | ['cs.SD', 'eess.AS'] | Augmentation and knowledge distillation (KD) are well-established techniques
employed in audio classification tasks, aimed at enhancing performance and
reducing model sizes on the widely recognized Audioset (AS) benchmark. Although
both techniques are effective individually, their combined use, called
consistent teachi... | 2023-08-23T06:57:00Z | null | null | null | null | null | null | null | null | null | null |
2,308.12008 | Graecia capta ferum victorem cepit. Detecting Latin Allusions to Ancient
Greek Literature | ['Frederick Riemenschneider', 'Anette Frank'] | ['cs.CL', 'I.2.7'] | Intertextual allusions hold a pivotal role in Classical Philology, with Latin
authors frequently referencing Ancient Greek texts. Until now, the automatic
identification of these intertextual references has been constrained to
monolingual approaches, seeking parallels solely within Latin or Greek texts.
In this study, ... | 2023-08-23T08:54:05Z | Paper accepted for publication at the First Workshop on Ancient
Language Processing (ALP) 2023; 9 pages, 5 tables | null | null | null | null | null | null | null | null | null |
2,308.12038 | Large Multilingual Models Pivot Zero-Shot Multimodal Learning across
Languages | ['Jinyi Hu', 'Yuan Yao', 'Chongyi Wang', 'Shan Wang', 'Yinxu Pan', 'Qianyu Chen', 'Tianyu Yu', 'Hanghao Wu', 'Yue Zhao', 'Haoye Zhang', 'Xu Han', 'Yankai Lin', 'Jiao Xue', 'Dahai Li', 'Zhiyuan Liu', 'Maosong Sun'] | ['cs.CL', 'cs.CV'] | Recently there has been a significant surge in multimodal learning in terms
of both image-to-text and text-to-image generation. However, the success is
typically limited to English, leaving other languages largely behind. Building
a competitive counterpart in other languages is highly challenging due to the
low-resourc... | 2023-08-23T09:55:41Z | https://github.com/OpenBMB/VisCPM.git | null | null | null | null | null | null | null | null | null |
2,308.1277 | WavMark: Watermarking for Audio Generation | ['Guangyu Chen', 'Yu Wu', 'Shujie Liu', 'Tao Liu', 'Xiaoyong Du', 'Furu Wei'] | ['cs.SD', 'cs.CL', 'eess.AS'] | Recent breakthroughs in zero-shot voice synthesis have enabled imitating a
speaker's voice using just a few seconds of recording while maintaining a high
level of realism. Alongside its potential benefits, this powerful technology
introduces notable risks, including voice fraud and speaker impersonation.
Unlike the con... | 2023-08-24T13:17:35Z | null | null | null | null | null | null | null | null | null | null |
2,308.12823 | Uncovering a Massive z~7.7 Galaxy Hosting a Heavily Obscured Radio-Loud
QSO Candidate in COSMOS-Web | ['Erini Lambrides', 'Marco Chiaberge', 'Arianna Long', 'Daizhong Liu', 'Hollis B. Akins', 'Andrew F. Ptak', 'Irham Taufik Andika', 'Alessandro Capetti', 'Caitlin M. Casey', 'Jaclyn B. Champagne', 'Katherine Chworowsky', 'Tracy E. Clarke', 'Olivia R. Cooper', 'Xuheng Ding', 'Dillon Z. Dong', 'Andreas L. Faisst', 'Jordan... | ['astro-ph.GA'] | In this letter, we report the discovery of the highest redshift, heavily
obscured, radio-loud AGN candidate selected using JWST NIRCam/MIRI, mid-IR,
sub-mm, and radio imaging in the COSMOS-Web field. Using multi-frequency radio
observations and mid-IR photometry, we identify a powerful, radio-loud (RL),
growing superma... | 2023-08-24T14:26:21Z | Accepted to ApJL | null | null | Uncovering a Massive z~7.7 Galaxy Hosting a Heavily Obscured Radio-Loud QSO Candidate in COSMOS-Web | ['E. Lambrides', 'M. Chiaberge', 'A. Long', 'Daizhong Liu', 'H. Akins', 'A. Ptak', 'I. Andika', 'A. Capetti', 'C. Casey', 'J. Champagne', 'Katherine Chworowsky', 'O. Cooper', 'Xuheng Ding', 'A. Faisst', 'Maximilien Franco', 'S. Gillman', 'G. Gozaliasl', 'K. Hall', 'S. Harish', 'C. Hayward', 'M. Hirschmann', 'T. Hutchis... | 2,023 | null | 1 | 0 | ['Physics'] |
2,308.12908 | POLCA: Power Oversubscription in LLM Cloud Providers | ['Pratyush Patel', 'Esha Choukse', 'Chaojie Zhang', 'Íñigo Goiri', 'Brijesh Warrier', 'Nithish Mahalingam', 'Ricardo Bianchini'] | ['cs.DC', 'cs.AR', 'cs.LG'] | Recent innovation in large language models (LLMs), and their myriad use-cases
have rapidly driven up the compute capacity demand for datacenter GPUs. Several
cloud providers and other enterprises have made substantial plans of growth in
their datacenters to support these new workloads. One of the key bottleneck
resourc... | 2023-08-24T16:32:34Z | null | null | null | POLCA: Power Oversubscription in LLM Cloud Providers | ['Pratyush Patel', 'Esha Choukse', 'Chaojie Zhang', 'Íñigo Goiri', 'Brijesh Warrier', 'Nithish Mahalingam', 'R. Bianchini'] | 2,023 | arXiv.org | 14 | 52 | ['Computer Science'] |
2,308.1295 | Code Llama: Open Foundation Models for Code | ['Baptiste Rozière', 'Jonas Gehring', 'Fabian Gloeckle', 'Sten Sootla', 'Itai Gat', 'Xiaoqing Ellen Tan', 'Yossi Adi', 'Jingyu Liu', 'Romain Sauvestre', 'Tal Remez', 'Jérémy Rapin', 'Artyom Kozhevnikov', 'Ivan Evtimov', 'Joanna Bitton', 'Manish Bhatt', 'Cristian Canton Ferrer', 'Aaron Grattafiori', 'Wenhan Xiong', 'Ale... | ['cs.CL'] | We release Code Llama, a family of large language models for code based on
Llama 2 providing state-of-the-art performance among open models, infilling
capabilities, support for large input contexts, and zero-shot instruction
following ability for programming tasks. We provide multiple flavors to cover a
wide range of a... | 2023-08-24T17:39:13Z | null | null | null | null | null | null | null | null | null | null |
2,308.12966 | Qwen-VL: A Versatile Vision-Language Model for Understanding,
Localization, Text Reading, and Beyond | ['Jinze Bai', 'Shuai Bai', 'Shusheng Yang', 'Shijie Wang', 'Sinan Tan', 'Peng Wang', 'Junyang Lin', 'Chang Zhou', 'Jingren Zhou'] | ['cs.CV', 'cs.CL'] | In this work, we introduce the Qwen-VL series, a set of large-scale
vision-language models (LVLMs) designed to perceive and understand both texts
and images. Starting from the Qwen-LM as a foundation, we endow it with visual
capacity by the meticulously designed (i) visual receptor, (ii) input-output
interface, (iii) 3... | 2023-08-24T17:59:17Z | Code, demo and models are available at
https://github.com/QwenLM/Qwen-VL | null | null | null | null | null | null | null | null | null |
2,308.12967 | NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes | ['Muhammad Zubair Irshad', 'Sergey Zakharov', 'Katherine Liu', 'Vitor Guizilini', 'Thomas Kollar', 'Adrien Gaidon', 'Zsolt Kira', 'Rares Ambrus'] | ['cs.CV', 'cs.AI', 'cs.LG'] | Recent implicit neural representations have shown great results for novel
view synthesis. However, existing methods require expensive per-scene
optimization from many views hence limiting their application to real-world
unbounded urban settings where the objects of interest or backgrounds are
observed from very few vie... | 2023-08-24T17:59:50Z | Accepted to International Conference on Computer Vision (ICCV), 2023.
Project page: https://zubair-irshad.github.io/projects/neo360.html | null | null | null | null | null | null | null | null | null |
2,308.13032 | Financial News Analytics Using Fine-Tuned Llama 2 GPT Model | ['Bohdan M. Pavlyshenko'] | ['cs.CL', 'cs.AI', 'cs.CE', 'cs.IR', 'cs.LG'] | The paper considers the possibility to fine-tune Llama 2 GPT large language
model (LLM) for the multitask analysis of financial news. For fine-tuning, the
PEFT/LoRA based approach was used. In the study, the model was fine-tuned for
the following tasks: analysing a text from financial market perspectives,
highlighting ... | 2023-08-24T18:58:10Z | null | null | null | Financial News Analytics Using Fine-Tuned Llama 2 GPT Model | ['Bohdan M. Pavlyshenko'] | 2,023 | arXiv.org | 20 | 15 | ['Computer Science'] |
2,308.13093 | EgoBlur: Responsible Innovation in Aria | ['Nikhil Raina', 'Guruprasad Somasundaram', 'Kang Zheng', 'Sagar Miglani', 'Steve Saarinen', 'Jeff Meissner', 'Mark Schwesinger', 'Luis Pesqueira', 'Ishita Prasad', 'Edward Miller', 'Prince Gupta', 'Mingfei Yan', 'Richard Newcombe', 'Carl Ren', 'Omkar M Parkhi'] | ['cs.CV'] | Project Aria pushes the frontiers of Egocentric AI with large-scale
real-world data collection using purposely designed glasses with privacy first
approach. To protect the privacy of bystanders being recorded by the glasses,
our research protocols are designed to ensure recorded video is processed by an
AI anonymizatio... | 2023-08-24T21:36:11Z | null | null | null | null | null | null | null | null | null | null |
2,308.13116 | Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge
Distillation | ['Kevin Krahn', 'Derrick Tate', 'Andrew C. Lamicela'] | ['cs.CL', 'I.2.7'] | Contextual language models have been trained on Classical languages,
including Ancient Greek and Latin, for tasks such as lemmatization,
morphological tagging, part of speech tagging, authorship attribution, and
detection of scribal errors. However, high-quality sentence embedding models
for these historical languages ... | 2023-08-24T23:38:44Z | Paper accepted for publication at the First Workshop on Ancient
Language Processing (ALP) 2023; 10 pages, 3 figures, 9 tables | null | null | null | null | null | null | null | null | null |
2,308.13137 | OmniQuant: Omnidirectionally Calibrated Quantization for Large Language
Models | ['Wenqi Shao', 'Mengzhao Chen', 'Zhaoyang Zhang', 'Peng Xu', 'Lirui Zhao', 'Zhiqian Li', 'Kaipeng Zhang', 'Peng Gao', 'Yu Qiao', 'Ping Luo'] | ['cs.LG', 'cs.CL'] | Large language models (LLMs) have revolutionized natural language processing
tasks. However, their practical deployment is hindered by their immense memory
and computation requirements. Although recent post-training quantization (PTQ)
methods are effective in reducing memory footprint and improving the
computational ef... | 2023-08-25T02:28:35Z | ICLR 2024 Camera Ready | null | null | null | null | null | null | null | null | null |
2,308.13177 | How to Evaluate the Generalization of Detection? A Benchmark for
Comprehensive Open-Vocabulary Detection | ['Yiyang Yao', 'Peng Liu', 'Tiancheng Zhao', 'Qianqian Zhang', 'Jiajia Liao', 'Chunxin Fang', 'Kyusong Lee', 'Qing Wang'] | ['cs.CV', 'cs.CL'] | Object detection (OD) in computer vision has made significant progress in
recent years, transitioning from closed-set labels to open-vocabulary detection
(OVD) based on large-scale vision-language pre-training (VLP). However, current
evaluation methods and datasets are limited to testing generalization over
object type... | 2023-08-25T04:54:32Z | Long paper accepted at AAAI 2024 | null | null | How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection | ['Yi Yao', 'Peng Liu', 'Tiancheng Zhao', 'Qianqian Zhang', 'Jiajia Liao', 'Chunxin Fang', 'Kyusong Lee', 'Qing Wang'] | 2,023 | AAAI Conference on Artificial Intelligence | 13 | 35 | ['Computer Science'] |
2,308.13387 | Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs | ['Yuxia Wang', 'Haonan Li', 'Xudong Han', 'Preslav Nakov', 'Timothy Baldwin'] | ['cs.CL'] | With the rapid evolution of large language models (LLMs), new and
hard-to-predict harmful capabilities are emerging. This requires developers to
be able to identify risks through the evaluation of "dangerous capabilities" in
order to responsibly deploy LLMs. In this work, we collect the first
open-source dataset to eva... | 2023-08-25T14:02:12Z | 18 pages, 9 figures, 11 tables | null | null | null | null | null | null | null | null | null |
2,308.13418 | Nougat: Neural Optical Understanding for Academic Documents | ['Lukas Blecher', 'Guillem Cucurull', 'Thomas Scialom', 'Robert Stojnic'] | ['cs.LG', 'cs.CV'] | Scientific knowledge is predominantly stored in books and scientific
journals, often in the form of PDFs. However, the PDF format leads to a loss of
semantic information, particularly for mathematical expressions. We propose
Nougat (Neural Optical Understanding for Academic Documents), a Visual
Transformer model that p... | 2023-08-25T15:03:36Z | 17 pages, 10 figures | null | null | Nougat: Neural Optical Understanding for Academic Documents | ['Lukas Blecher', 'Guillem Cucurull', 'Thomas Scialom', 'Robert Stojnic'] | 2,023 | International Conference on Learning Representations | 120 | 49 | ['Computer Science'] |
2,308.13437 | Position-Enhanced Visual Instruction Tuning for Multimodal Large
Language Models | ['Chi Chen', 'Ruoyu Qin', 'Fuwen Luo', 'Xiaoyue Mi', 'Peng Li', 'Maosong Sun', 'Yang Liu'] | ['cs.CV'] | Recently, Multimodal Large Language Models (MLLMs) that enable Large Language
Models (LLMs) to interpret images through visual instruction tuning have
achieved significant success. However, existing visual instruction tuning
methods only utilize image-language instruction data to align the language and
image modalities... | 2023-08-25T15:33:47Z | null | null | null | Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models | ['Chi Chen', 'Ruoyu Qin', 'Fuwen Luo', 'Xiaoyue Mi', 'Peng Li', 'Maosong Sun', 'Yang Liu'] | 2,023 | arXiv.org | 45 | 34 | ['Computer Science'] |
2,308.13449 | The Poison of Alignment | ['Aibek Bekbayev', 'Sungbae Chun', 'Yerzat Dulat', 'James Yamazaki'] | ['cs.CL'] | From the perspective of content safety issues, alignment has shown to limit
large language models' (LLMs) harmful content generation. This intentional
method of reinforcing models to not respond to certain user inputs seem to be
present in many modern open-source instruction tuning datasets such as
OpenAssistant or Gua... | 2023-08-25T15:51:15Z | null | null | null | The Poison of Alignment | ['Aibek Bekbayev', 'Sungbae Chun', 'Yerzat Dulat', 'James Yamazaki'] | 2,023 | arXiv.org | 9 | 28 | ['Computer Science'] |
2,308.14024 | Balanced Representation Learning for Long-tailed Skeleton-based Action
Recognition | ['Hongda Liu', 'Yunlong Wang', 'Min Ren', 'Junxing Hu', 'Zhengquan Luo', 'Guangqi Hou', 'Zhenan Sun'] | ['cs.CV'] | Skeleton-based action recognition has recently made significant progress.
However, data imbalance is still a great challenge in real-world scenarios. The
performance of current action recognition algorithms declines sharply when
training data suffers from heavy class imbalance. The imbalanced data actually
degrades the... | 2023-08-27T07:25:51Z | Accepted by Machine Intelligence Research
https://link.springer.com/article/10.1007/s11633-023-1487-8 | null | 10.1007/s11633-023-1487-8 | null | null | null | null | null | null | null |
2,308.1428 | FonMTL: Towards Multitask Learning for the Fon Language | ['Bonaventure F. P. Dossou', 'Iffanice Houndayi', 'Pamely Zantou', 'Gilles Hacheme'] | ['cs.CL', 'cs.AI'] | The Fon language, spoken by an average 2 million of people, is a truly
low-resourced African language, with a limited online presence, and existing
datasets (just to name but a few). Multitask learning is a learning paradigm
that aims to improve the generalization capacity of a model by sharing
knowledge across differe... | 2023-08-28T03:26:21Z | Accepted at WiNLP workshop, co-located at EMNLP 2023 | null | null | FonMTL: Towards Multitask Learning for the Fon Language | ['Bonaventure F. P. Dossou', 'Iffanice B. Houndayi', 'Pamely Zantou', 'Gilles Hacheme'] | 2,023 | arXiv.org | 0 | 29 | ['Computer Science'] |
2,308.14346 | DISC-MedLLM: Bridging General Large Language Models and Real-World
Medical Consultation | ['Zhijie Bao', 'Wei Chen', 'Shengze Xiao', 'Kuang Ren', 'Jiaao Wu', 'Cheng Zhong', 'Jiajie Peng', 'Xuanjing Huang', 'Zhongyu Wei'] | ['cs.CL', 'cs.AI'] | We propose DISC-MedLLM, a comprehensive solution that leverages Large
Language Models (LLMs) to provide accurate and truthful medical response in
end-to-end conversational healthcare services. To construct high-quality
Supervised Fine-Tuning (SFT) datasets, we employ three strategies: utilizing
medical knowledge-graphs... | 2023-08-28T06:41:49Z | Work in progress | null | null | DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation | ['Zhijie Bao', 'Wei Chen', 'Shengze Xiao', 'Kuang Ren', 'Jiaao Wu', 'Cheng Zhong', 'J. Peng', 'Xuanjing Huang', 'Zhongyu Wei'] | 2,023 | arXiv.org | 84 | 50 | ['Computer Science'] |
2,308.14469 | Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and
Personalized Stylization | ['Tao Yang', 'Rongyuan Wu', 'Peiran Ren', 'Xuansong Xie', 'Lei Zhang'] | ['cs.CV'] | Diffusion models have demonstrated impressive performance in various image
generation, editing, enhancement and translation tasks. In particular, the
pre-trained text-to-image stable diffusion models provide a potential solution
to the challenging realistic image super-resolution (Real-ISR) and image
stylization proble... | 2023-08-28T10:15:57Z | null | The European Conference on Computer Vision (ECCV) 2024 | null | null | null | null | null | null | null | null |
2,308.14508 | LongBench: A Bilingual, Multitask Benchmark for Long Context
Understanding | ['Yushi Bai', 'Xin Lv', 'Jiajie Zhang', 'Hongchang Lyu', 'Jiankai Tang', 'Zhidian Huang', 'Zhengxiao Du', 'Xiao Liu', 'Aohan Zeng', 'Lei Hou', 'Yuxiao Dong', 'Jie Tang', 'Juanzi Li'] | ['cs.CL'] | Although large language models (LLMs) demonstrate impressive performance for
many language tasks, most of them can only handle texts a few thousand tokens
long, limiting their applications on longer sequence inputs, such as books,
reports, and codebases. Recent works have proposed methods to improve LLMs'
long context ... | 2023-08-28T11:53:40Z | ACL 2024 | null | null | LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding | ['Yushi Bai', 'Xin Lv', 'Jiajie Zhang', 'Hong Lyu', 'Jiankai Tang', 'Zhidian Huang', 'Zhengxiao Du', 'Xiao Liu', 'Aohan Zeng', 'Lei Hou', 'Yuxiao Dong', 'Jie Tang', 'Juanzi Li'] | 2,023 | Annual Meeting of the Association for Computational Linguistics | 605 | 69 | ['Computer Science'] |
2,308.14669 | ANER: Arabic and Arabizi Named Entity Recognition using
Transformer-Based Approach | ['Abdelrahman "Boda" Sadallah', 'Omar Ahmed', 'Shimaa Mohamed', 'Omar Hatem', 'Doaa Hesham', 'Ahmed H. Yousef'] | ['cs.CL', 'cs.AI'] | One of the main tasks of Natural Language Processing (NLP), is Named Entity
Recognition (NER). It is used in many applications and also can be used as an
intermediate step for other tasks. We present ANER, a web-based named entity
recognizer for the Arabic, and Arabizi languages. The model is built upon BERT,
which is ... | 2023-08-28T15:54:48Z | null | null | 10.1109/IMSA58542.2023.10217635 | ANER: Arabic and Arabizi Named Entity Recognition using Transformer-Based Approach | ['A. Sadallah', 'Omar Ahmed', 'Shimaa S. Mohamed', 'Omar Hatem', 'Doaa Hesham', 'A. Yousef'] | 2,023 | Internet, Multimedia Systems and Applications | 2 | 17 | ['Computer Science'] |
2,308.14752 | AI Deception: A Survey of Examples, Risks, and Potential Solutions | ['Peter S. Park', 'Simon Goldstein', "Aidan O'Gara", 'Michael Chen', 'Dan Hendrycks'] | ['cs.CY', 'cs.AI', 'cs.HC'] | This paper argues that a range of current AI systems have learned how to
deceive humans. We define deception as the systematic inducement of false
beliefs in the pursuit of some outcome other than the truth. We first survey
empirical examples of AI deception, discussing both special-use AI systems
(including Meta's CIC... | 2023-08-28T17:59:35Z | 18 pages (not including executive summary, references, and appendix),
six figures | null | null | null | null | null | null | null | null | null |
2,308.1492 | Matbench Discovery -- A framework to evaluate machine learning crystal
stability predictions | ['Janosh Riebesell', 'Rhys E. A. Goodall', 'Philipp Benner', 'Yuan Chiang', 'Bowen Deng', 'Gerbrand Ceder', 'Mark Asta', 'Alpha A. Lee', 'Anubhav Jain', 'Kristin A. Persson'] | ['cond-mat.mtrl-sci', 'cs.LG'] | The rapid adoption of machine learning (ML) in domain sciences necessitates
best practices and standardized benchmarking for performance evaluation. We
present Matbench Discovery, an evaluation framework for ML energy models,
applied as pre-filters for high-throughput searches of stable inorganic
crystals. This framewo... | 2023-08-28T22:29:57Z | Please see online leaderboard at:
https://matbench-discovery.materialsproject.org/ | null | null | null | null | null | null | null | null | null |
2,308.1507 | DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior | ['Xinqi Lin', 'Jingwen He', 'Ziyan Chen', 'Zhaoyang Lyu', 'Bo Dai', 'Fanghua Yu', 'Wanli Ouyang', 'Yu Qiao', 'Chao Dong'] | ['cs.CV'] | We present DiffBIR, a general restoration pipeline that could handle
different blind image restoration tasks in a unified framework. DiffBIR
decouples blind image restoration problem into two stages: 1) degradation
removal: removing image-independent content; 2) information regeneration:
generating the lost image conte... | 2023-08-29T07:11:52Z | null | null | null | null | null | null | null | null | null | null |
2,308.15085 | Learning to Upsample by Learning to Sample | ['Wenze Liu', 'Hao Lu', 'Hongtao Fu', 'Zhiguo Cao'] | ['cs.CV'] | We present DySample, an ultra-lightweight and effective dynamic upsampler.
While impressive performance gains have been witnessed from recent kernel-based
dynamic upsamplers such as CARAFE, FADE, and SAPA, they introduce much
workload, mostly due to the time-consuming dynamic convolution and the
additional sub-network ... | 2023-08-29T07:50:11Z | Accepted by ICCV 2023 | null | null | null | null | null | null | null | null | null |
2,308.15366 | AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language
Models | ['Zhaopeng Gu', 'Bingke Zhu', 'Guibo Zhu', 'Yingying Chen', 'Ming Tang', 'Jinqiao Wang'] | ['cs.CV'] | Large Vision-Language Models (LVLMs) such as MiniGPT-4 and LLaVA have
demonstrated the capability of understanding images and achieved remarkable
performance in various visual tasks. Despite their strong abilities in
recognizing common objects due to extensive training datasets, they lack
specific domain knowledge and ... | 2023-08-29T15:02:53Z | Accepted by AAAI 2024; Project page: https://anomalygpt.github.io | null | null | AnomalyGPT: Detecting Industrial Anomalies using Large Vision-Language Models | ['Zhaopeng Gu', 'Bingke Zhu', 'Guibo Zhu', 'Yingying Chen', 'Ming Tang', 'Jinqiao Wang'] | 2,023 | AAAI Conference on Artificial Intelligence | 117 | 41 | ['Computer Science'] |
2,308.15777 | DeFTAN-II: Efficient Multichannel Speech Enhancement with Subgroup
Processing | ['Dongheon Lee', 'Jung-Woo Choi'] | ['eess.AS', 'eess.SP'] | In this work, we present DeFTAN-II, an efficient multichannel speech
enhancement model based on transformer architecture and subgroup processing.
Despite the success of transformers in speech enhancement, they face challenges
in capturing local relations, reducing the high computational complexity, and
lowering memory ... | 2023-08-30T06:08:27Z | 13 pages, 6 figures, submitted to IEEE/ACM Trans. Audio, Speech,
Lang. Process | null | null | null | null | null | null | null | null | null |
2,308.15812 | Peering Through Preferences: Unraveling Feedback Acquisition for
Aligning Large Language Models | ['Hritik Bansal', 'John Dang', 'Aditya Grover'] | ['cs.LG', 'cs.AI', 'cs.CL'] | Aligning large language models (LLMs) with human values and intents
critically involves the use of human or AI feedback. While dense feedback
annotations are expensive to acquire and integrate, sparse feedback presents a
structural design choice between ratings (e.g., score Response A on a scale of
1-7) and rankings (e... | 2023-08-30T07:35:32Z | 31 pages, Accepted to ICLR 2024 | null | null | Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models | ['Hritik Bansal', 'John Dang', 'Aditya Grover'] | 2,023 | International Conference on Learning Representations | 21 | 63 | ['Computer Science'] |
2,308.16137 | LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language
Models | ['Chi Han', 'Qifan Wang', 'Hao Peng', 'Wenhan Xiong', 'Yu Chen', 'Heng Ji', 'Sinong Wang'] | ['cs.CL', 'cs.AI'] | Today's large language models (LLMs) typically train on short text segments
(e.g., <4K tokens) due to the quadratic complexity of their Transformer
architectures. As a result, their performance suffers drastically on inputs
longer than those encountered during training, substantially limiting their
applications in real... | 2023-08-30T16:47:51Z | NAACL 2024 Outstanding paper, 9 pages, 6 figures | null | null | null | null | null | null | null | null | null |
2,308.16149 | Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open
Generative Large Language Models | ['Neha Sengupta', 'Sunil Kumar Sahu', 'Bokang Jia', 'Satheesh Katipomu', 'Haonan Li', 'Fajri Koto', 'William Marshall', 'Gurpreet Gosal', 'Cynthia Liu', 'Zhiming Chen', 'Osama Mohammed Afzal', 'Samta Kamboj', 'Onkar Pandit', 'Rahul Pal', 'Lalit Pradhan', 'Zain Muhammad Mujahid', 'Massa Baali', 'Xudong Han', 'Sondos Mah... | ['cs.CL', 'cs.AI', 'cs.LG', '68T50', 'F.2.2; I.2.7'] | We introduce Jais and Jais-chat, new state-of-the-art Arabic-centric
foundation and instruction-tuned open generative large language models (LLMs).
The models are based on the GPT-3 decoder-only architecture and are pretrained
on a mixture of Arabic and English texts, including source code in various
programming langua... | 2023-08-30T17:07:17Z | Arabic-centric, foundation model, large-language model, LLM,
generative model, instruction-tuned, Jais, Jais-chat | null | null | null | null | null | null | null | null | null |
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