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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/xptree/BlockBERT

공식 코드

Blockwise Self-Attention for Long Document Understanding

https://github.com/xsc1234/info-rag

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Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation

https://github.com/xu-song/k-plug

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K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce

https://github.com/xuandongzhao/hpd

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Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation

https://github.com/xuanlinli17/autoregressive_inference

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Discovering Non-monotonic Autoregressive Orderings with Variational Inference

https://github.com/xuanlinli17/large_vlm_distillation_ood

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Distilling Large Vision-Language Model with Out-of-Distribution Generalizability

https://github.com/xuanren4470/i-learn-better-if-you-speak-my-language

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I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses

https://github.com/xud-yan/Trident

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Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning

https://github.com/xueyangfeng/rehac

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Large Language Model-based Human-Agent Collaboration for Complex Task Solving

https://github.com/xuliu-cyber/rsunivlm

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RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of Experts

https://github.com/xuyige/BERT4doc-Classification

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How to Fine-Tune BERT for Text Classification?

https://github.com/xuzhao0/model-selection-reasoning

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Automatic Model Selection with Large Language Models for Reasoning

https://github.com/xyease/Dialog-PrLM

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Dialogue-oriented Pre-training

https://github.com/xyin-anl/Nodeology

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PEAR: A Robust and Flexible Automation Framework for Ptychography Enabled by Multiple Large Language Model Agents

https://github.com/xyjigsaw/kiscovery

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Exploring and Verbalizing Academic Ideas by Concept Co-occurrence

https://github.com/xypb/cleft

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CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning

https://github.com/y0mingzhang/diffuse-distributions

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Forcing Diffuse Distributions out of Language Models

https://github.com/y0mingzhang/diffuse-probabilities

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Forcing Diffuse Distributions out of Language Models

https://github.com/yale-lily/folio

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FOLIO: Natural Language Reasoning with First-Order Logic

https://github.com/yale-nlp/comal

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COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences

https://github.com/yale-sys/confidential-prompting

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Confidential Prompting: Protecting User Prompts from Cloud LLM Providers

https://github.com/yamanalab/gpt-augmented-news-recommendation

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News Recommendation with Category Description by a Large Language Model

https://github.com/yanbei-jiang/artwork-interpretation

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KALE: An Artwork Image Captioning System Augmented with Heterogeneous Graph

https://github.com/yandachen/in-context-tuning

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Meta-learning via Language Model In-context Tuning

https://github.com/yandex-research/DeDLOC

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Distributed Deep Learning in Open Collaborations

https://github.com/yandex-research/swarm

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SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient

https://github.com/yandrewl/clape

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Protein-DNA binding sites prediction based on pre-trained protein language model and contrastive learning

https://github.com/yangcong356/bita

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Bootstrapping Interactive Image-Text Alignment for Remote Sensing Image Captioning

https://github.com/yangcong356/kcfi

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Enhancing Perception of Key Changes in Remote Sensing Image Change Captioning

https://github.com/yangheng95/instoptima

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InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators

https://github.com/yangkevin2/emnlp22-re3-story-generation

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Re3: Generating Longer Stories With Recursive Reprompting and Revision

https://github.com/yangrui2015/generalizable-reward-model

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Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs

https://github.com/yangyi-chen/solo

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SOLO: A Single Transformer for Scalable Vision-Language Modeling

https://github.com/yangyifei729/laco

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LaCo: Large Language Model Pruning via Layer Collapse

https://github.com/yangzhengyi98/recinterpreter

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Large Language Model Can Interpret Latent Space of Sequential Recommender

https://github.com/yanmingk/fma

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Fast Multipole Attention: A Divide-and-Conquer Attention Mechanism for Long Sequences

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