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6 results for “2047”
Semi-Supervised Text-Attributed Graph Distillation
A new semi-supervised graph distillation method called \algo{} is proposed to improve scalability and interpretability of text-attributed graphs (TAGs) when used with large language models, addressing bottlenecks in representation learning.
Jul 24, 2026
VeriSimpl: Robust Optimization Modeling from Natural Language using Simplification-based Verification
VeriSimpl is a new LLM-based framework that uses solver-generated simplifications to verify natural-language-to-optimization translations, improving accuracy and introducing a self-verification signal on optimization benchmarks.
Jul 24, 2026
Incomplete Prompt Jailbreaks in Large Language Models
Researchers identify a new class of jailbreaks—'incomplete prompt jailbreaks' (IPJ)—where LLMs delay refusal until sentence completion, revealing systemic vulnerability in open-weight models despite existing safeguards.
Jul 24, 2026
Robust Critics: Defending LLMs Against Multi-Turn Attacks
Researchers propose Dialogue Critic Guided Sampling (DCGS), a new inference-time safety framework for LLMs that dynamically infers user intent across multi-turn dialogues to better distinguish harmful attacks from benign queries, outperforming existing baselines on adversarial benchmarks.
Jul 24, 2026
PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMs
PlanE is a new meta-planning framework for extractive-based LLMs that automates data decomposition, instruction tuning, and prompt inference to reduce annotation cost and improve task-specific model construction efficiency.
Jul 24, 2026
AI startup that’s never turned a profit say's it'll totally be around in 2047 to close its $19B lease - The Register
An unprofitable AI startup has signed a $19 billion lease commitment extending to 2047, asserting long-term viability despite no path to profitability.
Jul 8, 2026