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Collections including paper arxiv:2410.19168

Meta-Learning a Dynamical Language Model

Paper • 1803.10631 • Published Mar 28, 2018
TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance Generation

Paper • 2003.11963 • Published Mar 26, 2020
BigScience: A Case Study in the Social Construction of a Multilingual Large Language Model

Paper • 2212.04960 • Published Dec 9, 2022 • 1
Continuous Learning in a Hierarchical Multiscale Neural Network

Paper • 1805.05758 • Published May 15, 2018 • 1

Audio understanding benchmarks

MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark

Paper • 2410.19168 • Published Oct 24, 2024 • 19

Ichigo: Mixed-Modal Early-Fusion Realtime Voice Assistant

Paper • 2410.15316 • Published Oct 20, 2024 • 10
MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark

Paper • 2410.19168 • Published Oct 24, 2024 • 19

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 33
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 26
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 123
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 22

PDFTriage: Question Answering over Long, Structured Documents

Paper • 2309.08872 • Published Sep 16, 2023 • 54
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 77
Table-GPT: Table-tuned GPT for Diverse Table Tasks

Paper • 2310.09263 • Published Oct 13, 2023 • 40
Context-Aware Meta-Learning

Paper • 2310.10971 • Published Oct 17, 2023 • 17

Multimodal Benchmarks

Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model

Paper • 2407.07053 • Published Jul 9, 2024 • 44
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Paper • 2407.12772 • Published Jul 17, 2024 • 34
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

Paper • 2407.11691 • Published Jul 16, 2024 • 14
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

Paper • 2408.02718 • Published Aug 5, 2024 • 61

a collection of algorithmic agents for user interfaces/interactions, program synthesis, and robots

Learning Language Games through Interaction

Paper • 1606.02447 • Published Jun 8, 2016
Naturalizing a Programming Language via Interactive Learning

Paper • 1704.06956 • Published Apr 23, 2017
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

Paper • 1802.08802 • Published Feb 24, 2018
Mapping Natural Language Commands to Web Elements

Paper • 1808.09132 • Published Aug 28, 2018

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24, 2024 • 27
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 13
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20, 2024 • 48
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21, 2024 • 30

TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones

Paper • 2312.16862 • Published Dec 28, 2023 • 31
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action

Paper • 2312.17172 • Published Dec 28, 2023 • 28
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers

Paper • 2401.01974 • Published Jan 3, 2024 • 7
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations

Paper • 2401.01885 • Published Jan 3, 2024 • 28

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