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https://arxiv.org/list/cs.CL/new
Users can read ancient tablets (Akkadian to English) and compose new messages as cuneiform clay tablets (English to Akkadian to cuneiform to rendered tablet)
https://arxiv.org/list/cs.CV/new
To address this limitation, we propose Hunyuan3D-Buffalo 1
https://arxiv.org/list/cs.AI/new
Extending the pattern-generation paradigm of Neural Cellular Automata (NCA), it navigates the degenerate Boolean search space to satisfy a computational task, rather than regenerating a fixed target state
https://arxiv.org/html/2410.05779v3
However, existing RAG systems have significant limitations, including reliance on flat data representations and inadequate contextual awareness, which can lead to fragmented answers that fail to capture complex inter-dependencies
https://arxiv.org/html/2608.00458v1
BANDMAS then uses a predictor trained on controlled offline replays to estimate each packet’s downstream contribution, providing a task-grounded signal that message length or semantic similarity does not directly measure
https://arxiv.org/html/2608.02613v1
A million-token cloud context window does not help here, as it requires off-device upload, which privacy-sensitive personal memory management is meant to avoid
https://arxiv.org/html/2608.01366v2
com Affiliation: Department of Design and Manufacturing, Indian Institute of Science (IISc) , Bangalore , India , Srinidhi Ranjini Girish email: srinidhirgirish@gmail
https://arxiv.org/html/2608.02617v1
2 Preference rank does not track safety outcomes
https://arxiv.org/list/math/new
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New submissions (showing 219 of 219 entries)
[1] arXiv:2608
https://arxiv.org/html/2608.03233v1
Our findings highlight a concerning issue of domain homogeneity, a prevalent tendency for LLMs to generate analogies from a narrow set of target domains, limiting both inter-query and intra-model diversity
https://arxiv.org/html/2609.03159v1
2, which are to Understand the Sun, Solar System, and Universe: “How does the Universe work
https://arxiv.org/html/2407.19144v1/
Our framework enhances the adaptability of agents to unexpected failures by integrating inter-agent relationships into their learning processes, thereby accelerating the recovery from malfunctions
https://arxiv.org/html/2407.17789v2
com/modelscope/agentscope/tree/main/examples/paper_large_scale_simulation to inspire further research and development in large-scale multi-agent simulations
https://arxiv.org/html/2608.03067v1
4 Statistical analysis
5 Results
Inter-rater reliability for human ratings
https://arxiv.org/html/2608.00648v1
In these scenarios, heterogeneous agents and complex task constraints require efficient inter-agent coordination to improve execution efficiency
https://arxiv.org/html/2608.03044v1
(2025) concluded that sociodemographic prompting does not reliably shift model outputs toward target demographics
https://arxiv.org/abs/2006.02833
It enables users to horizontally scale their on-premises infrastructure up to public clouds in order to improve performance and cut up-front investment cost
https://arxiv.org/list/cs.NA/new
Nazarov, A new approach to the reaction-diffusion systems modelling, Vestn
https://arxiv.org/html/2608.03529v1
Because the target concepts are not known in advance, annotators prefer open-ended labels, whose agreement is hard to quantify
https://arxiv.org/list/cs.DC/new
DC)
The artificial intelligence industry has constructed a USD 300 billion centralized data center infrastructure to serve a workload, large language model inference, that does not architecturally require centralization
https://arxiv.org/list/eess.SP/new
The three channels are integrated at a common input port via a T-junction, with connecting transmission line stubs dimensioned to enforce high inter-channel isolation
https://arxiv.org/html/2608.03149v1
I Introduction
Real-time dispatch of steelmaking process loads (SPLs) in response to fluctuations in local renewable generation and grid electricity prices is essential for increasing on-site renewable energy utilization and reducing electricity procurement costs in industrial microgrids [TOP1, TOP4]
https://arxiv.org/html/2608.00426v1
In MAS, poisoned items can instead propagate from private to shared memory and reach agents that were never directly targeted
https://arxiv.org/list/cs.IT/new
IT)
Suppressive interference, high-dynamic motion of the receiving platform, and carrier-phase RTK lead satellite navigation to one fundamental question: when the receiver actively participates in observation formation through its array geometry, channel states, weights, and signal-processing rules, how can the
https://arxiv.org/abs/2608.02122
Although Dynamic Voltage and Frequency Scaling (DVFS) provides an effective mechanism for reducing GPU energy consumption, existing runtime systems decouple DVFS from task placement and inter-GPU communication, focus on single-GPU execution, or cannot adapt frequency to task granularity and runtime contention in multi
https://arxiv.org/list/cond-mat/new
The mixed anomaly between these is accommodated by the not-on-site action of the symmetries
https://arxiv.org/html/2407.14571v1
As the raw multi-variate time series data generated by DataStorm-FE can be both large and complicated to parse, and users may be domain experts and not necessarily data scientists, it is critical that data exploration and analysis be accessible:
•
Consequently, DataStorm-EM provides intuitive and easy-to-use
https://arxiv.org/list/cs.SE/new
PL)
Glob patterns, a domain-specific language for structured string matching, are a foundational yet understudied component of modern software development embedded in everything from build scripts and configuration files to web server routes
https://arxiv.org/html/2407.13076v1
Such inter-SF interference may increase the possibility of packet loss when the signal-to-interference ratio (SIR) is below a specific threshold [12]
https://arxiv.org/html/2407.08254v2
These agents can communicate and coordinate with each other, either directly or indirectly, to solve complex tasks that are beyond a single agent’s capabilities