arXiv:2608.13883v1 Announce Type: new Abstract: Most agent-memory benchmarks test post-hoc recall, whereas MemoryArena evaluates whether memory supports…
Tag: AI
When Personal Memory Has No Single Answer: Evaluating LLM Agents under Irreducible Conflict
arXiv:2608.13921v1 Announce Type: new Abstract: LLM agents increasingly maintain personal memory across sessions, but it can conflict. Preferences depend…
Never the Number: Structural Abstention for AI Systems Whose Answers Are Consumed as Fact
arXiv:2608.13926v1 Announce Type: new Abstract: Large language models have made natural language interfaces to databases (NLIDB) newly credible, but LLM…
Joint Optimization of Memory and Computing Frequency for Energy-Efficient DNN Inference
arXiv:2608.13863v1 Announce Type: new Abstract: Deep neural network (DNN) inference on mobile devices often incurs high latency and energy consumption due…
Stripe is reportedly acquiring AI startup OpenRouter for more than $7 billion
According to Bloomberg, Stripe is acquiring the AI startup OpenRouter for more than $7 billion, up from a latest valuation of $1.3 billion. OpenRouter…
AI Research Preference Models
arXiv:2608.13940v1 Announce Type: new Abstract: AI research agents (AIRA) can now propose, implement, and evaluate their own machine learning experiments,…
SDO: Subspace Deconflicting Operator for Multi-Adapter Composition
arXiv:2608.13820v1 Announce Type: new Abstract: Composing independently trained adapters within a shared diffusion backbone provides a modular approach to…
FLARE MCMC: Fidelity-based Layer-Adaptive REcursive proposals for MCMC
arXiv:2608.13774v1 Announce Type: new Abstract: Markov chain Monte Carlo (MCMC) requires only the ability to evaluate the likelihood, making it a common…
From Passive Delegates to Strategic Negotiators: Reinforcing Social Reasoning in Small Language Models with SocialRL
arXiv:2608.13787v1 Announce Type: new Abstract: AI agents increasingly act on their users’ behalf, handling tasks such as scheduling meetings, comparing…
Simulation-Aware In-Context Policy Improvement for LLM-Aided Analog Layout Refinement
arXiv:2608.13767v1 Announce Type: new Abstract: Analog IC layout design remains a labor-intensive iterative process dominated by simulation-driven…