Papers with Code 아카이브
General Knowledge
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 7
- 평가표
- 1
- 보존된 평가 기록
- 2
This task aims to evaluate the ability of a model to answer general-knowledge questions.
Source: BIG-bench
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/shayanray/ApplyingCommonSense
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
https://github.com/shmsw25/GraphRetriever
Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering
https://github.com/solidsea98/neural-corpus-indexer-nci
https://github.com/songchujun/joeynmt
https://github.com/thakur-nandan/beir-colbert
https://github.com/thunlp/MultiRD
https://github.com/thunlp/clueanchor
Atlas: Few-shot Learning with Retrieval Augmented Language Models
https://github.com/tianrun-chen/sam-adapter-pytorch
https://github.com/uclnlp/APE
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
https://github.com/violet-zct/fairseq-detect-hallucination
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks
https://github.com/wusize/harmon
https://github.com/xfactlab/emnlp2023-damaging-retrieval
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
https://github.com/xinyadu/rgqa
https://github.com/xuefuzhao/openmoe
ST-MoE: Designing Stable and Transferable Sparse Expert Models
https://github.com/yakazimir/semantic_fragments
What Does My QA Model Know? Devising Controlled Probes using Expert Knowledge
https://github.com/yangletliu/finlora
https://github.com/yikangshen/megablocks
ST-MoE: Designing Stable and Transferable Sparse Expert Models
https://github.com/zhaoolee/garss
PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models
https://github.com/zhaoyuesun/phee
https://github.com/zhengli97/promptkd
Cascade Prompt Learning for Vision-Language Model Adaptation
https://huggingface.co/datasets/alykassem/DSC-Benchmark
How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.