Language Modeling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/xiaoduoailab/xmodellm
공식 코드https://github.com/xiaoduoailab/xmodelvlm
공식 코드Xmodel-VLM: A Simple Baseline for Multimodal Vision Language Model
https://github.com/xiaohao-yang/topic_model_evaluation
공식 코드LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models
https://github.com/xiaomi/mobilevlm
공식 코드MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding
https://github.com/xiaomi/subllm
공식 코드SUBLLM: A Novel Efficient Architecture with Token Sequence Subsampling for LLM
https://github.com/xiaomimimo/mimo
공식 코드MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining
https://github.com/xiaowu0162/low-resource-kpgen
공식 코드Representation Learning for Resource-Constrained Keyphrase Generation
https://github.com/xiaoxue1117/altp_chords_lyrics
공식 코드Music-robust Automatic Lyrics Transcription of Polyphonic Music
https://github.com/xiaozeroone/conditional_finetune
공식 코드https://github.com/xiaozhang521/Unit_Language
공식 코드https://github.com/xieyangxinyu/wildfiregpt
공식 코드A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation
https://github.com/xieyuankun/Codecfake
공식 코드The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake Audio
https://github.com/xijun-cs/vila
공식 코드ViLA: Efficient Video-Language Alignment for Video Question Answering
https://github.com/xinchen9/cot_distillation_acl2024
공식 코드Learning to Maximize Mutual Information for Chain-of-Thought Distillation
https://github.com/xingbow/sleephealthLLM
공식 코드https://github.com/xinghaochen/slab
공식 코드https://github.com/xingrun-xing/spikelm
공식 코드SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms
https://github.com/xingwei-warwick/callmsae
공식 코드Cascading Large Language Models for Salient Event Graph Generation
https://github.com/xingyaoww/code4struct
공식 코드Code4Struct: Code Generation for Few-Shot Event Structure Prediction
https://github.com/xinjli/asr2k
공식 코드ASR2K: Speech Recognition for Around 2000 Languages without Audio
https://github.com/xinke-wang/modaverse
공식 코드https://github.com/xinyadu/doc_event_role
공식 코드Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding
https://github.com/xinyangz/oamine
공식 코드OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision
https://github.com/xinyangz/twhin-bert
공식 코드https://github.com/xinyu1205/Recognize_Anything-Tag2Text
공식 코드https://github.com/xinyu1205/recognize-anything
공식 코드https://github.com/xinzhel/grammar
공식 코드https://github.com/xinzhel/llm-agent-survey
공식 코드https://github.com/xiye17/sat-lm
공식 코드SatLM: Satisfiability-Aided Language Models Using Declarative Prompting
https://github.com/xlang-ai/batch-prompting
공식 코드Batch Prompting: Efficient Inference with Large Language Model APIs
https://github.com/xllyu-nlp/docia
공식 코드DoCIA: An Online Document-Level Context Incorporation Agent for Speech Translation
https://github.com/xlpczv/semi_siamese
공식 코드Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning
https://github.com/xmubq/dtr-text
공식 코드https://github.com/xmudm/sentiwsp
공식 코드Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis
https://github.com/xndong/sata
공식 코드SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.