Who Will Design Tomorrow’s Analog Integrated Circuits: Humans Or Ai-based Synthesis? Abstract: Analog/mixed-signal integrated circuits are key in applications where electronics interface with the physical [...]

Convergence of Self-Play in Games Abstract: Self-play has emerged as a powerful paradigm for training agents in complex multi-agent environments, underpinning some of the most [...]

Beyond Accuracy: Rethinking LLM Evaluation for Real-World, Interactive, and Culturally Inclusive Scenarios Abstract: Traditional evaluation methods for large language models (LLMs)—often centered on accuracy in [...]

Federated and Robust Parameter-Efficient Fine-Tuning of Large Language Models  Abstract: While parameter-efficient fine-tuning techniques like Low-Rank Adaptation (LoRA) offer computationally efficient adaptations of Large Language [...]

Feature Learning and "The Linear Representation Hypothesis" For Monitoring and Steering LLMs Abstract: A trained Large Language Model (LLM) contains much of human knowledge. Yet, [...]