Following papers are accepted to ACL 2024:
- Semiparametric Token-Sequence Co-Supervision
- LangBridge: Multilingual Reasoning Without Multilingual Supervision
- Aligning Large Language Models by On-Policy Self-Judgment
- Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once?
- ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval
The following paper is accepted to ACL 2024 Findings:
- Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation
Following papers are accepted to NAACL 2024:
- REPLUG: Retrieval-Augmented Black-Box Language Models
- Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision
- KTRL+F: Knowledge-Augmented In-Document Search
- How Well Do Large Language Models Truly Ground?
- Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models
We are welcoming Jinho Park (MS), Juyoung Suk (MS), Hyeonbin Hwang (MS), Seongyun Lee (MS). We are also welcoming MS->PhD conversion of Hoyeon Chang.
Hanseok Oh (MS) has graduated.
Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis by Sohee Yang et al. is accepted to TACL 2024. [code]
Following papers are accepted to ICLR 2024:
- (Spotlight) FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
- Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
- SuRe: Improving Open-domain Question Answering of LLMs via Summarized Retrieval