penguinnnnn / awesome-llm-and-societyLinks
Recent papers on (1) Psychology of LLMs; (2) Biases in LLMs.
☆49Updated last year
Alternatives and similar repositories for awesome-llm-and-society
Users that are interested in awesome-llm-and-society are comparing it to the libraries listed below
Sorting:
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆65Updated last year
- Benchmarking LLMs' Emotional Alignment with Humans☆104Updated 4 months ago
- Code and Results of the Paper: On the Reliability of Psychological Scales on Large Language Models☆30Updated 9 months ago
- Public code repo for COLING 2025 paper "Aligning LLMs with Individual Preferences via Interaction"☆29Updated 2 months ago
- Personality Alignment of Language Models☆37Updated 3 months ago
- ☆26Updated 9 months ago
- Do Large Language Models Know What They Don’t Know?☆97Updated 7 months ago
- [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning☆25Updated last year
- ☆44Updated last year
- [ACL2024] Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios☆58Updated last year
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆68Updated 2 years ago
- An open-source library for contamination detection in NLP datasets and Large Language Models (LLMs).☆57Updated 10 months ago
- Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"☆47Updated last year
- ☆54Updated 10 months ago
- Repo for paper "Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents"☆52Updated last year
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆114Updated 11 months ago
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆112Updated last year
- Restore safety in fine-tuned language models through task arithmetic☆28Updated last year
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated 10 months ago
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆127Updated 11 months ago
- Mostly recording papers about models' trustworthy applications. Intending to include topics like model evaluation & analysis, security, c…☆21Updated 2 years ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆69Updated last year
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- ☆50Updated last year
- ☆41Updated last year
- Benchmarking LLMs' Psychological Portrayal☆118Updated 5 months ago
- ☆74Updated last year
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆125Updated 9 months ago
- The repository of the project "Fine-tuning Large Language Models with Sequential Instructions", code base comes from open-instruct and LA…☆29Updated 7 months ago
- [EMNLP 2024] The official GitHub repo for the paper "Course-Correction: Safety Alignment Using Synthetic Preferences"☆19Updated 8 months ago