[2603.16105] Frequency Matters: Fast Model-Agnostic Data Curation for Pruning and Quantization
Abstract page for arXiv paper 2603.16105: Frequency Matters: Fast Model-Agnostic Data Curation for Pruning and Quantization
GPT, Claude, Gemini, and other LLMs
Abstract page for arXiv paper 2603.16105: Frequency Matters: Fast Model-Agnostic Data Curation for Pruning and Quantization
Abstract page for arXiv paper 2603.09643: MM-tau-p$^2$: Persona-Adaptive Prompting for Robust Multi-Modal Agent Evaluation in Dual-Contro...
Abstract page for arXiv paper 2603.07339: Agora: Teaching the Skill of Consensus-Finding with AI Personas Grounded in Human Voice
Abstract page for arXiv paper 2603.19236: L-PRISMA: An Extension of PRISMA in the Era of Generative Artificial Intelligence (GenAI)
Abstract page for arXiv paper 2603.19247: When Prompt Optimization Becomes Jailbreaking: Adaptive Red-Teaming of Large Language Models
Abstract page for arXiv paper 2603.17765: Grounded Multimodal Retrieval-Augmented Drafting of Radiology Impressions Using Case-Based Simi...
Abstract page for arXiv paper 2603.20170: Learning Dynamic Belief Graphs for Theory-of-mind Reasoning
Abstract page for arXiv paper 2603.20101: Pitfalls in Evaluating Interpretability Agents
Abstract page for arXiv paper 2603.20046: Experience is the Best Teacher: Motivating Effective Exploration in Reinforcement Learning for ...
Abstract page for arXiv paper 2603.19896: Utility-Guided Agent Orchestration for Efficient LLM Tool Use
Abstract page for arXiv paper 2603.19715: Stepwise: Neuro-Symbolic Proof Search for Automated Systems Verification
Abstract page for arXiv paper 2603.19685: A Subgoal-driven Framework for Improving Long-Horizon LLM Agents
Abstract page for arXiv paper 2603.19639: HyEvo: Self-Evolving Hybrid Agentic Workflows for Efficient Reasoning
Abstract page for arXiv paper 2603.19584: PowerLens: Taming LLM Agents for Safe and Personalized Mobile Power Management
Abstract page for arXiv paper 2603.19515: ItinBench: Benchmarking Planning Across Multiple Cognitive Dimensions with Large Language Models
Abstract page for arXiv paper 2603.19514: Learning to Disprove: Formal Counterexample Generation with Large Language Models
Abstract page for arXiv paper 2603.19500: Teaching an Agent to Sketch One Part at a Time
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I tested 10 common prompt engineering techniques against a structured JSON format across identical tasks (marketing plans, code debugging...
I have ADHD and I've been pair programming with LLMs for a while now. At some point I realized the way they fail felt weirdly familiar. C...
Hi, I am a new AI user. I want to use AI for daily life optimization, getting better at table tennis and fitness, to use in architecture ...
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