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Language Modeling
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/rizar/attention-lvcsr
공식 코드End-to-End Attention-based Large Vocabulary Speech Recognition
https://github.com/rkzheng99/villa
공식 코드ViLLa: Video Reasoning Segmentation with Large Language Model
https://github.com/rloganiv/kglm-model
공식 코드Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling
https://github.com/rmit-ir/GRAG-LiveRAG
공식 코드https://github.com/rmit-ir/walert
공식 코드https://github.com/rmldj/memory-llm-paper
공식 코드https://github.com/rmokady/clip_prefix_caption
공식 코드https://github.com/rmovva/llm-publication-patterns-public
공식 코드Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers
https://github.com/robert1003/ash-prompting
공식 코드Hierarchical Prompting Assists Large Language Model on Web Navigation
https://github.com/robertcsordas/moe_attention
공식 코드SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention
https://github.com/robertcsordas/moeut
공식 코드https://github.com/robertcsordas/switchhead
공식 코드SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention
https://github.com/robertdvdk/lico-fact
공식 코드Reproducibility study of "LICO: Explainable Models with Language-Image Consistency"
https://github.com/robertvacareanu/llm4regression
공식 코드https://github.com/robinyjpark/autolabelclassifier
공식 코드Automated Spinal MRI Labelling from Reports Using a Large Language Model
https://github.com/rohan-chaudhury/humane-speech-synthesis-through-zero-shot-emotion-and-disfluency-generation
공식 코드Humane Speech Synthesis through Zero-Shot Emotion and Disfluency Generation
https://github.com/rokosbasilisk/filler_tokens
공식 코드Understanding Hidden Computations in Chain-of-Thought Reasoning
https://github.com/rongyaofang/got
공식 코드https://github.com/ronit-singhal/evidence-backed-fact-checking-using-rag-and-few-shot-in-context-learning-with-llms
공식 코드Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs
https://github.com/rosewang2008/backtracing
공식 코드https://github.com/rosewang2008/language_modeling_via_stochastic_processes
공식 코드https://github.com/roys174/writing_style
공식 코드The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task
https://github.com/roysoumya/curriculum-genemask
공식 코드Unlocking Efficiency: Adaptive Masking for Gene Transformer Models
https://github.com/roysoumya/genemask
공식 코드GeneMask: Fast Pretraining of Gene Sequences to Enable Few-Shot Learning
https://github.com/royweiss1/GPT_Keylogger
공식 코드What Was Your Prompt? A Remote Keylogging Attack on AI Assistants
https://github.com/rpd123-byte/active-inference-for-self-organizing-multi-llm-systems-a-bayesian-thermodynamic-approach-to-adaptat
공식 코드https://github.com/rshaojimmy/jiutian
공식 코드LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge
https://github.com/rstless-research/fauno-italian-llm
공식 코드Fauno: The Italian Large Language Model that will leave you senza parole!
https://github.com/rsummers11/CADLab
공식 코드https://github.com/rsvp-ai/segatron_aaai
공식 코드Segatron: Segment-Aware Transformer for Language Modeling and Understanding
https://github.com/rsvp-ai/semantic_unwritten
공식 코드https://github.com/rttl-ai/bioptimus
공식 코드https://github.com/rubricreward/r3
공식 코드https://github.com/ruc-gsai/yulan-chat
공식 코드https://github.com/ruc-gsai/yulan-ir
공식 코드RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.