4 citations · 7 across the 4 of their papers we have counts for
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cs.LG2025★ 1 cited
CIRCUIT: A Benchmark for Circuit Interpretation and Reasoning Capabilities of LLMs
Lejla Skelic, Yan Xu, Matthew Cox +3
The role of Large Language Models (LLMs) has not been extensively explored in analog circuit design, which could benefit from a reasoning-based approach that transcends traditional…
cs.LG2025★ 2 cited
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments
Hongjin Su, Ruoxi Sun, Jinsung Yoon +3
Autonomous agents powered by large language models (LLMs) have the potential to enhance human capabilities, assisting with digital tasks from sending emails to performing data anal…
cs.LG2023
Shadow Cones: A Generalized Framework for Partial Order Embeddings
Tao Yu, Toni J. B. Liu, Albert Tseng +1
Hyperbolic space has proven to be well-suited for capturing hierarchical relations in data, such as trees and directed acyclic graphs. Prior work introduced the concept of entailme…