Jinyeop Song

According to our database, Jinyeop Song authored at least 7 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Blessing of Dimensionality in LLM Fine-tuning: A Variance-Curvature Perspective.

Qiyao Liang, Jinyeop Song, Yizhou Liu, Jeff Gore, Ila Fiete, Risto Miikkulainen, Xin Qiu

CoRR, February, 2026

2025

Estimating the Empowerment of Language Model Agents.

Jinyeop Song, Jeff Gore, Max Kleiman-Weiner

CoRR, September, 2025

When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research.

Guijin Son, Jiwoo Hong, Honglu Fan, Heejeong Nam, Hyunwoo Ko, Seungwon Lim, Jinyeop Song, Jinha Choi, Gonçalo Paulo, Youngjae Yu, Stella Biderman

CoRR, May, 2025

Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective.

Seungwook Han, Jinyeop Song, Jeff Gore, Pulkit Agrawal

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Reconciling Kaplan and Chinchilla Scaling Laws.

Tim Pearce, Jinyeop Song

Trans. Mach. Learn. Res., 2024

Emergence of Abstractions: Concept Encoding and Decoding Mechanism for In-Context Learning in Transformers.

Seungwook Han, Jinyeop Song, Jeff Gore, Pulkit Agrawal

CoRR, 2024

A Resource Model For Neural Scaling Law.

Jinyeop Song, Ziming Liu, Max Tegmark, Jeff Gore

CoRR, 2024