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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/bytedance/agent-r

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Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

https://github.com/bytedance/dplm

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Diffusion Language Models Are Versatile Protein Learners

https://github.com/bytedance/ibot

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iBOT: Image BERT Pre-Training with Online Tokenizer

https://github.com/bytedance/omniscient-model

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Towards Open-Ended Visual Recognition with Large Language Model

https://github.com/bytedance/pargo

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MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

https://github.com/bytedance/sail

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The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer

https://github.com/bytedance/tarsier

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Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding

https://github.com/bytedance/valley

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Valley2: Exploring Multimodal Models with Scalable Vision-Language Design

https://github.com/bytetriper/lm4lv

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LM4LV: A Frozen Large Language Model for Low-level Vision Tasks

https://github.com/byungdoh/llm_decomposition

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Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions

https://github.com/bzantium/bert-AAD

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Knowledge Distillation for BERT Unsupervised Domain Adaptation

https://github.com/c-box/structeval

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StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation

https://github.com/c4ai/deepage

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DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment

https://github.com/caicch/colpro

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Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting

https://github.com/caixd-220529/LifelongAgentBench

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LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners

https://github.com/caiyun-ai/dcformer

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Improving Transformers with Dynamically Composable Multi-Head Attention

https://github.com/callsys/genpromp

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Generative Prompt Model for Weakly Supervised Object Localization

https://github.com/calvinyeungck/automated_assignment_grading

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A Zero-Shot LLM Framework for Automatic Assignment Grading in Higher Education

https://github.com/cambridgeltl/composable-sft

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Composable Sparse Fine-Tuning for Cross-Lingual Transfer

https://github.com/cambridgeltl/pairs

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Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators

https://github.com/cambridgeltl/zepo

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Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments

https://github.com/camel-ai/agent-trust

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Can Large Language Model Agents Simulate Human Trust Behavior?

https://github.com/camel-ai/camel

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CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society

https://github.com/camel-ai/crab

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CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents

https://github.com/cancanxxx/round_trip_translation_defence

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Round Trip Translation Defence against Large Language Model Jailbreaking Attacks

https://github.com/canchen-cc/online-llm-detection

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Online Detecting LLM-Generated Texts via Sequential Hypothesis Testing by Betting

https://github.com/caoquanjie/ConditionalLearnToPayAttention

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Conditionally Learn to Pay Attention for Sequential Visual Task

https://github.com/caoyu-noob/Multi-GPT2

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Pretrained Language Models for Dialogue Generation with Multiple Input Sources

https://github.com/caoyunkang/adaclip

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AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection

https://github.com/cardiffnlp/timelms

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TimeLMs: Diachronic Language Models from Twitter

https://github.com/cardiffnlp/tweeteval

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TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification

https://github.com/carina-kauf/better-mlm-scoring

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A Better Way to Do Masked Language Model Scoring

https://github.com/carinahausladen/clip-face-bias

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Social perception of faces in a vision-language model

https://github.com/carolinazheng/invariant-control-gen

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An Invariant Learning Characterization of Controlled Text Generation

https://github.com/carolinazheng/revisiting-tglms

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Revisiting Topic-Guided Language Models

https://github.com/carolius/Multi-Objective-Reinforcement-Learning-from-AI-Feedback

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Multi-objective Reinforcement learning from AI Feedback

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.