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Language Modeling

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ant-8/GUI-Grounding-via-Iterative-Narrowing

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Improved GUI Grounding via Iterative Narrowing

https://github.com/ant-8/layer-recurrent-transformers

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Intra-Layer Recurrence in Transformers for Language Modeling

https://github.com/ant-research/MagicQuill

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MagicQuill: An Intelligent Interactive Image Editing System

https://github.com/ant-research/easytemporalpointprocess

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Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning

https://github.com/ant-research/fin_domain_llm

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WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine

https://github.com/ant-research/structuredlm_rtdt

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A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification

https://github.com/anthipapa/textanonymization

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Bootstrapping Text Anonymization Models with Distant Supervision

https://github.com/anthonywchen/rarr

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RARR: Researching and Revising What Language Models Say, Using Language Models

https://github.com/anthropics/evals

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Discovering Language Model Behaviors with Model-Written Evaluations

https://github.com/antnlp/nope_head_scale

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Length Generalization of Causal Transformers without Position Encoding

https://github.com/antoinelrnld/modlog

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MindGames: Targeting Theory of Mind in Large Language Models with Dynamic Epistemic Modal Logic

https://github.com/antoyang/FrozenBiLM

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Zero-Shot Video Question Answering via Frozen Bidirectional Language Models

https://github.com/anudeex/wet

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WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks

https://github.com/anusfoil/llaqo

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LLaQo: Towards a Query-Based Coach in Expressive Music Performance Assessment

https://github.com/anzeyimana/kinyabert-acl2022

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KinyaBERT: a Morphology-aware Kinyarwanda Language Model

https://github.com/ao1neko/Heuristic-and-Rational-Reasoning

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First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning

https://github.com/apcl-research/jam

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A Language Model of Java Methods with Train/Test Deduplication

https://github.com/appl-team/appl

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APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts

https://github.com/apple/corenet

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OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

https://github.com/apple/dmel

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dMel: Speech Tokenization made Simple

https://github.com/apple/ml-ademamix

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The AdEMAMix Optimizer: Better, Faster, Older

https://github.com/apple/ml-ferret

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Ferret: Refer and Ground Anything Anywhere at Any Granularity

https://github.com/apple/ml-hypercloning

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Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization

https://github.com/apple/ml-interactive-data-augmentation

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Exploring Empty Spaces: Human-in-the-Loop Data Augmentation

https://github.com/apple/ml-ogen

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Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization

https://github.com/apple/ml-sigma-reparam

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Stabilizing Transformer Training by Preventing Attention Entropy Collapse

https://github.com/apple/ml-slowfast-llava

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SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models

https://github.com/apple/ml-tic-lm

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TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining

https://github.com/appletea233/llava-st

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LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understanding

https://github.com/applicaai/ccpdf

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CCpdf: Building a High Quality Corpus for Visually Rich Documents from Web Crawl Data

https://github.com/applicaai/contract-discovery

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Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines

https://github.com/applicaai/lambert

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LAMBERT: Layout-Aware (Language) Modeling for information extraction

https://github.com/applied-machine-learning-lab/llmemb

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LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation

https://github.com/araag2/SemEval2024-Task2

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Lisbon Computational Linguists at SemEval-2024 Task 2: Using A Mistral 7B Model and Data Augmentation

https://github.com/arashardakani/Learning-Recurrent-Binary-Ternary-Weights

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Learning Recurrent Binary/Ternary Weights

https://github.com/arcee-ai/mergekit

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Arcee's MergeKit: A Toolkit for Merging Large Language Models

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