Language Modelling
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A language model is a model of natural language. Language models are useful for a variety of tasks, including speech recognition, machine translation, natural language generation (generating more human-like text), optical character recognition, route optimization, handwriting recognition, grammar induction, and information retrieval.
Large language models (LLMs), currently their most advanced form, are predominantly based on transformers trained on larger datasets (frequently using words scraped from the public internet). They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.
Source: Wikipedia
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/idealwhite/tdanet
공식 코드https://github.com/idekerlab/llm_evaluation_for_gene_set_interpretation
공식 코드Evaluation of large language models for discovery of gene set function
https://github.com/idiap/bayesian-peft
공식 코드Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting
https://github.com/idiap/class-imbalance-multilingual-ft
공식 코드Understanding the effects of language-specific class imbalance in multilingual fine-tuning
https://github.com/idiap/cncsharedtask
공식 코드https://github.com/idiap/contextual-biasing-on-gpus
공식 코드Implementing contextual biasing in GPU decoder for online ASR
https://github.com/idiap/drill
공식 코드https://github.com/idiap/fast-transformers
공식 코드Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
https://github.com/idiap/icassp-oov-recognition
공식 코드A Comparison of Methods for OOV-word Recognition on a New Public Dataset
https://github.com/idiap/itm
공식 코드Image-guided topic modeling for interpretable privacy classification
https://github.com/idiap/linearize-distill-pretrained-transformers
공식 코드Joint Fine-tuning and Conversion of Pretrained Speech and Language Models towards Linear Complexity
https://github.com/idiap/sigma-gpt
공식 코드https://github.com/idllresearch/malicious-gpt
공식 코드Malla: Demystifying Real-world Large Language Model Integrated Malicious Services
https://github.com/idrori/mathq
공식 코드https://github.com/idruglab/adcnet
공식 코드ADCNet: a unified framework for predicting the activity of antibody-drug conjugates
https://github.com/ieit-yuan/yuan-2.0
공식 코드YUAN 2.0: A Large Language Model with Localized Filtering-based Attention
https://github.com/ielab/boder
공식 코드Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval
https://github.com/ielab/dsr-poisoning
공식 코드Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks
https://github.com/ielab/larmor
공식 코드https://github.com/ielab/starbucks
공식 코드https://github.com/ielab/typos-aware-bert
공식 코드Dealing with Typos for BERT-based Passage Retrieval and Ranking
https://github.com/iesl/knnlm-retrieval-quality
공식 코드You can't pick your neighbors, or can you? When and how to rely on retrieval in the $k$NN-LM
https://github.com/iesl/metanlp
공식 코드Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks
https://github.com/iesl/narrative-driven-rec-mint
공식 코드Large Language Model Augmented Narrative Driven Recommendations
https://github.com/ignisavium/causal-llava
공식 코드https://github.com/igul222/plaid
공식 코드https://github.com/ihmc/findings-of-acl-2022-concern-detection
공식 코드From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains
https://github.com/iigroup/map
공식 코드MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model
https://github.com/iigroup/scl
공식 코드Seeing What You Miss: Vision-Language Pre-training with Semantic Completion Learning
https://github.com/iiot-tbb/dialogue_dde
공식 코드PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model
https://github.com/iiscleap/care
공식 코드Leveraging Content and Acoustic Representations for Speech Emotion Recognition
https://github.com/ikb-a/idk-dialogue-relevance
공식 코드https://github.com/ilampard/lamp
공식 코드Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning
https://github.com/ilhamfp/indonesian-text-classification-multilingual
공식 코드Improving Indonesian Text Classification Using Multilingual Language Model
https://github.com/imagegridworth/IG-VLM
공식 코드An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.