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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/internlm/lmdeploy

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AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

https://github.com/intersun/CoDIR

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Contrastive Distillation on Intermediate Representations for Language Model Compression

https://github.com/intuit/wmlm

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Unsupervised Improvement of Factual Knowledge in Language Models

https://github.com/invictus717/MiCo

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Explore the Limits of Omni-modal Pretraining at Scale

https://github.com/inzva/fake-academic-paper-generation

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Neural Academic Paper Generation

https://github.com/iqvianlp/llm-onto-infuse

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Towards Ontology-Enhanced Representation Learning for Large Language Models

https://github.com/ireinig/wogli

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Can current NLI systems handle German word order? Investigating language model performance on a new German challenge set of minimal pairs

https://github.com/irgroup/suir

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Context-Driven Interactive Query Simulations Based on Generative Large Language Models

https://github.com/iriscxy/fes

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Towards Improving Faithfulness in Abstractive Summarization

https://github.com/irugina/AP

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Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks

https://github.com/irugina1/llama-attention-pruning

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Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks

https://github.com/isarth/SemEval9_MIDAS

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Suggestion Mining from Online Reviews using ULMFiT

https://github.com/isee-laboratory/llmdet

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LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models

https://github.com/isen-zhang/aclue

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Can Large Language Model Comprehend Ancient Chinese? A Preliminary Test on ACLUE

https://github.com/ishan00/translation-for-code-switching-acl

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From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text

https://github.com/ishikasingh/Affective-text-gen

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Adapting a Language Model for Controlled Affective Text Generation

https://github.com/ishutov/nlp2018_hp_asoif_rus

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Russian Language Datasets in the Digitial Humanities Domain and Their Evaluation with Word Embeddings

https://github.com/isitnavajo/NavajoDetector

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Is It Navajo? Accurate Language Detection in Endangered Athabaskan Languages

https://github.com/isl-mt/SemanticWordReplacement-LREC2018

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Automated Evaluation of Out-of-Context Errors

https://github.com/ismoptgroup/ramda

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Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network

https://github.com/ismoptgroup/ramda_exp

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Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network

https://github.com/issararab/pevolm

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PEvoLM: Protein Sequence Evolutionary Information Language Model

https://github.com/isspek/FakeNewsDetectionFramework

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ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information

https://github.com/istarryn/dllm2rec

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Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model

https://github.com/itay1itzhak/spellingbee

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Models In a Spelling Bee: Language Models Implicitly Learn the Character Composition of Tokens

https://github.com/itsdaniele/speculative_mamba

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The Mamba in the Llama: Distilling and Accelerating Hybrid Models

https://github.com/itsnamgyu/block-transformer

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Block Transformer: Global-to-Local Language Modeling for Fast Inference

https://github.com/iurteaga/gp_ts_nlp

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Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking

https://github.com/ivanmontero/autobot

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Sentence Bottleneck Autoencoders from Transformer Language Models

https://github.com/ivnle/synth-icl

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Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability

https://github.com/izhx/uni-rep

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Language Models are Universal Embedders

https://github.com/j-min/VL-T5

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Unifying Vision-and-Language Tasks via Text Generation

https://github.com/jackil1993/gpt3_scm

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From Natural Language to Simulations: Applying GPT-3 Codex to Automate Simulation Modeling of Logistics Systems

https://github.com/jackingchen/reason_augment_ad_detect

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Profiling Patient Transcript Using Large Language Model Reasoning Augmentation for Alzheimer's Disease Detection

https://github.com/jacklishufan/lavida

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LaViDa: A Large Diffusion Language Model for Multimodal Understanding

https://github.com/jacklxc/StandAloneSpellingCorrection

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Context-aware Stand-alone Neural Spelling Correction

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