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General Knowledge

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

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/rdevooght/sequence-based-recommendations

공식 코드

Collaborative Filtering with Recurrent Neural Networks

https://github.com/reutapel/meeqa

공식 코드

MeeQA: Natural Questions in Meeting Transcripts

https://github.com/rifkiaputri/id-csqa

공식 코드

Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and Sundanese

https://github.com/rocktimjyotidas/exams-v

공식 코드

EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models

https://github.com/saharsamr/modular-llm

공식 코드

GenKnowSub: Improving Modularity and Reusability of LLMs through General Knowledge Subtraction

https://github.com/sailxuovo/cc-riddle

공식 코드

CC-Riddle: A Question Answering Dataset of Chinese Character Riddles

https://github.com/samanjoy2/bnmmlu

공식 코드

BnMMLU: Measuring Massive Multitask Language Understanding in Bengali

https://github.com/sarthak268/c3vqg-official

공식 코드

C3VQG: Category Consistent Cyclic Visual Question Generation

https://github.com/sarus-tech/dp-rag

공식 코드

RAG with Differential Privacy

https://github.com/shangjingbo1226/AutoPhrase

공식 코드

Automated Phrase Mining from Massive Text Corpora

https://github.com/shmsw25/qa-hard-em

공식 코드

A Discrete Hard EM Approach for Weakly Supervised Question Answering

https://github.com/shuaiwa16/OtherClassNER

공식 코드

Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition

https://github.com/shuohangwang/mprc

공식 코드

Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering

https://github.com/shuoli90/traq

공식 코드

TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction

https://github.com/siagholami/zero-shot-open-book-qa

공식 코드

Zero-Shot Open-Book Question Answering

https://github.com/sighellan/syne-tune

공식 코드

Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation

https://github.com/sisinflab/Ducho-meets-Elliot

공식 코드

Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation

https://github.com/siyuanyan1/epvt

공식 코드

EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition

https://github.com/sky-visionx/cracksegmentation

공식 코드

Distribution-aware Noisy-label Crack Segmentation

https://github.com/slanglab/IndiaPoliceEvents

공식 코드

Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence

https://github.com/slit-ai/fusechat-3.0

공식 코드

FuseChat-3.0: Preference Optimization Meets Heterogeneous Model Fusion

https://github.com/songmzhang/dskdv2

공식 코드

A Dual-Space Framework for General Knowledge Distillation of Large Language Models

https://github.com/sougata-ub/llms_for_ionic_liquids

공식 코드

From Knowledge to Reasoning: Evaluating LLMs for Ionic Liquids Research in Chemical and Biological Engineering

https://github.com/sstary/ssrs

공식 코드

MANet: Fine-Tuning Segment Anything Model for Multimodal Remote Sensing Semantic Segmentation

https://github.com/stanford-futuredata/ColBERT

공식 코드

Relevance-guided Supervision for OpenQA with ColBERT

https://github.com/stanford-oval/genie-toolkit

공식 코드

AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data

https://github.com/stanford-oval/genienlp

공식 코드

AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data

https://github.com/stanford-oval/schema2qa

공식 코드

AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data

https://github.com/stanfordnlp/ColBERT-QA

공식 코드

Relevance-guided Supervision for OpenQA with ColBERT

https://github.com/starsuzi/t-sas

공식 코드

Test-Time Self-Adaptive Small Language Models for Question Answering

https://github.com/studio-ousia/bpr

공식 코드

Efficient Passage Retrieval with Hashing for Open-domain Question Answering

https://github.com/sunnweiwei/user-satisfaction-simulation

공식 코드

Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems

https://github.com/sweetpeach/Inspired

공식 코드

INSPIRED: Toward Sociable Recommendation Dialog Systems

https://github.com/tangzhy/dptdr

공식 코드

DPTDR: Deep Prompt Tuning for Dense Passage Retrieval

https://github.com/tensorflow/mesh

공식 코드

ST-MoE: Designing Stable and Transferable Sparse Expert Models

https://github.com/terrierteam/pyterrier_rag

공식 코드

Constructing and Evaluating Declarative RAG Pipelines in PyTerrier

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