Jay
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upvoted a paper 3 days ago
Qualixar OS: A Universal Operating System for AI Agent Orchestration upvoted a changelog 3 days ago
Connect Your MCP Client to the Hugging Face Hub upvoted a paper 3 days ago
How Good Can Linear Models Be for Time-Series Forecasting?Organizations
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Normalized Low-Rank Adaptation
Paper • 2608.31036 • Published • 57 -
GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling
Paper • 2604.18556 • Published • 19 -
Model Compression with Exact Budget Constraints via Riemannian Manifolds
Paper • 2605.00649 • Published • 7
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TradingAgents: Multi-Agents LLM Financial Trading Framework
Paper • 2412.20138 • Published • 147 -
EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents
Paper • 2609.17632 • Published • 45 -
ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search
Paper • 2609.13356 • Published • 263 -
Multi-objective Portfolio Optimization Via Gradient Descent
Paper • 2507.16717 • Published • 1
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EvoX: Meta-Evolution for Automated Discovery
Paper • 2602.23413 • Published • 2 -
CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation
Paper • 2502.10802 • Published -
Bilevel Autoresearch: Meta-Autoresearching Itself
Paper • 2603.23420 • Published • 2 -
Apodex 1.1: Scaling Agentic Intelligence for Complex Work
Paper • 2608.23283 • Published • 211
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Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents?
Paper • 2602.11988 • Published • 5 -
Do Context Files Help Coding Agents? A Two-Agent Ablation Study on Real Repositories
Paper • 2607.27250 • Published • 1 -
ContextCov: Deriving and Enforcing Executable Constraints from Agent Instruction Files
Paper • 2603.00822 • Published
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Standardization of Multi-Objective QUBOs
Paper • 2504.12419 • Published • 1 -
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization
Paper • 2605.09094 • Published • 1 -
Multi-objective Portfolio Optimization Via Gradient Descent
Paper • 2507.16717 • Published • 1 -
EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent
Paper • 2605.09777 • Published • 1
-
GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling
Paper • 2604.18556 • Published • 19 -
Model Compression with Exact Budget Constraints via Riemannian Manifolds
Paper • 2605.00649 • Published • 7 -
DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers
Paper • 2602.02016 • Published • 13
-
Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents?
Paper • 2602.11988 • Published • 5 -
Do Context Files Help Coding Agents? A Two-Agent Ablation Study on Real Repositories
Paper • 2607.27250 • Published • 1 -
ContextCov: Deriving and Enforcing Executable Constraints from Agent Instruction Files
Paper • 2603.00822 • Published
-
Standardization of Multi-Objective QUBOs
Paper • 2504.12419 • Published • 1 -
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization
Paper • 2605.09094 • Published • 1 -
Multi-objective Portfolio Optimization Via Gradient Descent
Paper • 2507.16717 • Published • 1 -
EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent
Paper • 2605.09777 • Published • 1
-
GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling
Paper • 2604.18556 • Published • 19 -
Model Compression with Exact Budget Constraints via Riemannian Manifolds
Paper • 2605.00649 • Published • 7 -
DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers
Paper • 2602.02016 • Published • 13
-
Normalized Low-Rank Adaptation
Paper • 2608.31036 • Published • 57 -
GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling
Paper • 2604.18556 • Published • 19 -
Model Compression with Exact Budget Constraints via Riemannian Manifolds
Paper • 2605.00649 • Published • 7
-
TradingAgents: Multi-Agents LLM Financial Trading Framework
Paper • 2412.20138 • Published • 147 -
EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents
Paper • 2609.17632 • Published • 45 -
ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search
Paper • 2609.13356 • Published • 263 -
Multi-objective Portfolio Optimization Via Gradient Descent
Paper • 2507.16717 • Published • 1
-
EvoX: Meta-Evolution for Automated Discovery
Paper • 2602.23413 • Published • 2 -
CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation
Paper • 2502.10802 • Published -
Bilevel Autoresearch: Meta-Autoresearching Itself
Paper • 2603.23420 • Published • 2 -
Apodex 1.1: Scaling Agentic Intelligence for Complex Work
Paper • 2608.23283 • Published • 211