Papers with Code 아카이브
Ethics
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 2
- 보존된 평가 기록
- 8
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nlie2/triage
공식 코드TRIAGE: Ethical Benchmarking of AI Models Through Mass Casualty Simulations
https://github.com/nolongerprejudice/tgbi
공식 코드On Measuring Gender Bias in Translation of Gender-neutral Pronouns
https://github.com/optimalscale/lmflow
공식 코드RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment
https://github.com/osu-nlp-group/eval-llm-trust
공식 코드https://github.com/ram2c/ram2c
공식 코드https://github.com/robustnlp/cipherchat
공식 코드GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
https://github.com/sameysimon/hypotheticalretrospectionmachine
공식 코드Uncertain Machine Ethical Decisions Using Hypothetical Retrospection
https://github.com/sbackmann/moralsim
공식 코드When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas
https://github.com/sciecon/blockchain-ethics
공식 코드AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain Security
https://github.com/so-cool/crossmodelfairness
공식 코드Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity
https://github.com/so-cool/individualfairness
공식 코드Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity
https://github.com/sri-aic/sc2-feature-extractor
공식 코드A Framework for Understanding and Visualizing Strategies of RL Agents
https://github.com/tdavislab/verb
공식 코드VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations
https://github.com/tensorflow/lattice
공식 코드https://github.com/tjunlp-lab/cmoraleval
공식 코드CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models
https://github.com/tmllab/ntlbench
공식 코드Toward Robust Non-Transferable Learning: A Survey and Benchmark
https://github.com/ucf-crcv/ted-spad
공식 코드https://github.com/ucsc-vlaa/sight-beyond-text
공식 코드Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics
https://github.com/uqhwen2/MACAL
공식 코드Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation
https://github.com/vectorinstitute/humanibench
공식 코드HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation
https://github.com/vnnm404/SaGE
공식 코드https://github.com/wagnew3/llmdatadefenses
공식 코드https://github.com/wanng-ide/ealm
공식 코드EALM: Introducing Multidimensional Ethical Alignment in Conversational Information Retrieval
https://github.com/xuchen0427/tax-rank
공식 코드https://github.com/yukimasano/PASS
공식 코드PASS: An ImageNet replacement for self-supervised pretraining without humans
https://github.com/yunkun-zhang/data-centric-fm-healthcare
공식 코드Data-Centric Foundation Models in Computational Healthcare: A Survey
https://github.com/AI-Guru/agent_emotion_model
https://github.com/Junjie-Chu/CJA_Comprehensive_Jailbreak_Assessment
JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs
https://github.com/YunjinPark/modu_project
Semantics derived automatically from language corpora contain human-like biases
https://github.com/ahalterman/ngec
https://github.com/allenai/dolma
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/bramiozo/PubScience
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/ego4d/episodic-memory
https://github.com/ego4d/forecasting
https://github.com/ego4d/hands-and-objects
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.