3 citations · 6 across the 5 of their papers we have counts for
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cs.LG2026
$OneMillion-Bench: How Far are Language Agents from Human Experts?
Qianyu Yang, Yang Liu, Jiaqi Li +19
As language models (LMs) evolve from chat assistants to long-horizon agents capable of multi-step reasoning and tool use, existing benchmarks remain largely confined to structured…
cs.LG2022★ 3 cited
Amos: An Adam-style Optimizer with Adaptive Weight Decay towards Model-Oriented Scale
Ran Tian, Ankur P. Parikh
We present Amos, a stochastic gradient-based optimizer designed for training deep neural networks. It can be viewed as an Adam optimizer with theoretically supported, adaptive lear…
cs.LG2018
Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder
Ryo Takahashi, Ran Tian, Kentaro Inui
Embedding models for entities and relations are extremely useful for recovering missing facts in a knowledge base. Intuitively, a relation can be modeled by a matrix mapping entity…