thu-coai / CharacterBench
[AAAI'25] CharacterBench: Benchmarking Character Customization of Large Language Models
☆13Updated 3 months ago
Alternatives and similar repositories for CharacterBench:
Users that are interested in CharacterBench are comparing it to the libraries listed below
- Implementation of "Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation"☆79Updated last year
- ☆80Updated last year
- Benchmarking Complex Instruction-Following with Multiple Constraints Composition (NeurIPS 2024 Datasets and Benchmarks Track)☆72Updated last month
- Code and data for the paper "Can Large Language Models Understand Real-World Complex Instructions?"(AAAI2024)☆48Updated 11 months ago
- [Findings of ACL'2023] Improving Contrastive Learning of Sentence Embeddings from AI Feedback☆39Updated last year
- self-adaptive in-context learning☆43Updated last year
- Data and codes for EMNLP 2022 paper "CDConv: A Benchmark for Contradiction Detection in Chinese Conversations"☆15Updated last year
- EMNLP'2024: Knowledge Verification to Nip Hallucination in the Bud☆22Updated last year
- [ACL 23] CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors☆36Updated last month
- Repo for ACL2023 paper "Plug-and-Play Knowledge Injection for Pre-trained Language Models"☆60Updated 11 months ago
- MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation☆23Updated 11 months ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆79Updated last year
- SysBench: Can Large Language Models Follow System Messages?☆26Updated 6 months ago
- Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation☆76Updated 4 months ago
- [ACL 2024] FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models☆98Updated 3 months ago
- EMNLP'2023: Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration☆36Updated last year
- Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation (EMNLP 2023)☆30Updated 11 months ago
- ☆24Updated last year
- [Findings of EMNLP'2024] Unified Active Retrieval for Retrieval Augmented Generation☆21Updated 5 months ago
- Towards Systematic Measurement for Long Text Quality☆33Updated 6 months ago
- Do Large Language Models Know What They Don’t Know?☆92Updated 4 months ago
- Proactive Dialogue Systems - Paper Reading List☆52Updated last year
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆65Updated 3 months ago
- Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"☆57Updated 2 years ago
- ☆31Updated last year
- ☆52Updated 7 months ago
- A framework for editing the CoTs for better factuality☆49Updated last year
- ☆73Updated 10 months ago
- Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning☆36Updated last year
- Collection of papers for scalable automated alignment.☆86Updated 5 months ago