Following papers are accepted to NAACL 2025:
- Generative Prompt Internalization
- The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
- Evaluating Multimodal Generative AI with Korean Educational Standards
- CORG: Generating Answers from Complex, Interrelated Contexts
- KMMLU: Measuring Massive Multitask Language Understanding in Korean
The following paper is accepted to NAACL 2025 findings:
- Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversation
The following paper is accepted to NAACL 2025 Industry Track:
- Towards Reliable and Practical Phishing Detection
Following paper is accepted to AAAI 2025:
- RouterRetriever: Routing over a Mixture of Expert Embedding Models
Following papers are accepted to NeurIPS 2024:
- How Do Large Language Models Acquire Factual Knowledge During Pretraining?
- Aligning to Thousands of Preferences via System Message Generalization
Following papers are accepted to EMNLP 2024:
- Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models
- Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Utilization
- Exploring the Practicality of Generative Retrieval on Dynamic Corpora
- On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning
- Rethinking the Role of Proxy Rewards in Language Model Alignment
- Instruction Matters, a Simple yet Effective Task Selection Approach in Instruction Tuning for Specific Tasks
The following paper is accepted to EMNLP 2024 Findings:
- Self-Explore to Avoid the Pit: Improving the Reasoning Capabilities of Language Models with Fine-grained Rewards