https://github.com/fudanvi/generative-abstract-reasoning
공식 코드Abstracting Concept-Changing Rules for Solving Raven's Progressive Matrix Problems
Papers with Code 아카이브
Answer Generation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/gomate-community/trustrag
공식 코드TrustRAG: An Information Assistant with Retrieval Augmented Generation
https://github.com/google-research-datasets/NewsQuizQA
공식 코드https://github.com/gsh199449/productqa
공식 코드Product-Aware Answer Generation in E-Commerce Question-Answering
https://github.com/gtfintechlab/kg-qagen
공식 코드https://github.com/guilk/kat
공식 코드KAT: A Knowledge Augmented Transformer for Vision-and-Language
https://github.com/happen2me/cross-gnn
공식 코드GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language Models
https://github.com/haruhi-sudo/RPG
공식 코드https://github.com/heidelberg-nlp/cc-shap-vlm
공식 코드https://github.com/hengrui-gu/pokemqa
공식 코드PokeMQA: Programmable knowledge editing for Multi-hop Question Answering
https://github.com/htsucml/VQAG
공식 코드End-to-End Video Question-Answer Generation with Generator-Pretester Network
https://github.com/ict-bigdatalab/utility_judgments
공식 코드https://github.com/irlabamsterdam/cone-rag
공식 코드Conversational Gold: Evaluating Personalized Conversational Search System using Gold Nuggets
https://github.com/jihaonew/mm-instruct
공식 코드MM-Instruct: Generated Visual Instructions for Large Multimodal Model Alignment
https://github.com/joykirat18/how-to-think-step-by-step
공식 코드How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning
https://github.com/kali-hac/chatgpt-mbti
공식 코드Can ChatGPT Assess Human Personalities? A General Evaluation Framework
https://github.com/kolk/ConfnetPointerGenBaseline
공식 코드ConfNet2Seq: Full Length Answer Generation from Spoken Questions
https://github.com/ldilab/ecorag
공식 코드ECoRAG: Evidentiality-guided Compression for Long Context RAG
https://github.com/lhl3341/metaladder
공식 코드MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer
https://github.com/linweizhedragon/retrieval-augmented-visual-question-answering
공식 코드Retrieval Augmented Visual Question Answering with Outside Knowledge
https://github.com/longbai1006/surgical-vqla
공식 코드https://github.com/mosheber/token_elimination
공식 코드Optimizing Retrieval-augmented Reader Models via Token Elimination
https://github.com/mramg-bench/mramg
공식 코드https://github.com/mrinal18/MAMBA_QA
공식 코드Multilingual State Space Models for Structured Question Answering in Indic Languages
https://github.com/mxschmdt/mrqa-gen-al
공식 코드Combining Data Generation and Active Learning for Low-Resource Question Answering
https://github.com/nadiasaeed/medifact-m3g-mediqa-2024
공식 코드MediFact at MEDIQA-M3G 2024: Medical Question Answering in Dermatology with Multimodal Learning
https://github.com/nbahador/-fine_tuned_gpt2_model_on_epilepsy_related_pubmed_abstracts
공식 코드https://github.com/open-social-world/egonormia
공식 코드https://github.com/openmicg/mcg
공식 코드https://github.com/oyar99/ir-ag-reg
공식 코드A Hybrid Approach to Information Retrieval and Answer Generation for Regulatory Texts
https://github.com/pauldrm/targeted_intervention
공식 코드HSI: Head-Specific Intervention Can Induce Misaligned AI Coordination in Large Language Models
https://github.com/pkhdipraja/in-context-atlas
공식 코드The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation
https://github.com/regnlp/obligationclassifier
공식 코드RIRAG: Regulatory Information Retrieval and Answer Generation
https://github.com/regnlp/obliqadataset
공식 코드RIRAG: Regulatory Information Retrieval and Answer Generation
https://github.com/reml-group/dog
공식 코드Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models
https://github.com/responsibleailab/halo
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.