Topic - Edition
arXiv:2611.15046v1 Announce Type: cross Abstract: Deep learning has driven substantial progress in modeling fMRI responses, yet most existing approaches are optimized for a single objective---such as neural encoding,…
arXiv:2511.04556v4 Announce Type: replace Abstract: Urbanization and increasingly frequent intense storms are placing stress on urban drainage networks. While dense monitoring is desirable, practical constraints in…
arXiv:2611.15449v1 Announce Type: cross Abstract: Text-aware image super-resolution (TAISR) aims to recover high-resolution images from low-resolution inputs while preserving textual content. Existing methods treat this…
arXiv:2611.16628v1 Announce Type: new Abstract: Reinforcement learning can teach vision-language models (VLMs) to decline harmful image-text requests, but how safe the result becomes is set indirectly, through reward…
arXiv:2602.08340v2 Announce Type: replace Abstract: Causal discovery is increasingly used to analyze telemetry from interactive systems, but a plausible graph does not guarantee an identifiable or reliable product…
arXiv:2506.15253v3 Announce Type: replace-cross Abstract: As large language model (LLM) agents are increasingly deployed in long-horizon unattended scenarios, security evaluation of them before deployment becomes…
arXiv:2602.10437v4 Announce Type: replace-cross Abstract: Sparse autoencoders (SAEs) decompose language model activations into interpretable features, but existing methods reveal only which features activate, not which…
arXiv:2606.21666v2 Announce Type: replace Abstract: LLM judges that score hallucination flag any statement that contradicts a reference fact. Agents in multi-agent LLM systems quote and dispute each other's claims, so…
arXiv:2604.21260v2 Announce Type: replace-cross Abstract: We study semisupervised mean estimation with a small labeled sample, a large unlabeled sample, and a black-box prediction model whose output may be…
arXiv:2511.00125v2 Announce Type: replace-cross Abstract: Formal verification with Dafny provides strong correctness guarantees, but verification failures often require users to determine where helper assertions are…
arXiv:2606.04779v3 Announce Type: replace Abstract: Predictive tasks constitute subprocedures within human--AI interactions (HAIs) involving professionals and AI systems. Complementarity occurs when an HAI outperforms a…
arXiv:2611.12865v2 Announce Type: replace Abstract: Reinforcement learning (RL) can improve an agent's task capability while reinforcing violations of explicitly stated contextual requirements, even when reward…
arXiv:2611.15268v1 Announce Type: cross Abstract: Small open models suit private customer-service deployments but trail frontier models in two ways: they miss what the written policy requires in a given situation, and…
arXiv:2611.14960v1 Announce Type: new Abstract: Coding agents can solve a task well before they stop working on it. We characterize \emph{termination lag}--the number of steps between an agent's first correct patch and…
arXiv:2611.16561v1 Announce Type: new Abstract: Photonic neural network accelerators have emerged as a promising solution for reducing the power consumption of deep neural network (DNN) inference by executing matrix…
arXiv:2611.16425v1 Announce Type: cross Abstract: We describe the RMIT-ADM+S team's participation in the TREC 2026 Retrieval-Augmented Generation (RAG) track using the ClimbMix corpus. We submitted seven research-agent…
arXiv:2611.14760v1 Announce Type: cross Abstract: Graph classification benchmarks vary widely in difficulty: some are solved by simple pooled baselines, while others remain challenging for GNNs and graph transformers.…
arXiv:2611.16526v1 Announce Type: new Abstract: LLMs have quickly evolved from models used in isolation to agentic systems that delegate tasks to external tools and other LLMs to solve complex assignments. This agentic…
arXiv:2611.15017v1 Announce Type: cross Abstract: Multiagent research inherited its economic vocabulary of auctions, markets, prices, bargaining, and matching from a single observed case: human societies. Those…
arXiv:2611.16499v1 Announce Type: new Abstract: A typed-decision model such as Laya reads a text and a list of options that the caller defines, for example ticket categories, and returns a probability for each option.…
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