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The query asks the model to recall the topic of an earlier conversation about Tesla; the gold answer is anchored in one specific session about Pooja’s dig site
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https://arxiv.org/html/2608.02613v1
1 Hardware and serving stack Failure modes encountered

Computation and Language

https://arxiv.org/list/cs.CL/new
Recent studies have therefore examined how to automatically derive optimization problems from natural-language descriptions, but existing benchmarks focus on settings where objectives and constraints can be written explicitly as mathematical expressions

1 Introduction

https://arxiv.org/html/2501.13956v1
Consequently, additional context is required to provide out-of-domain (OOD) knowledge and reduce hallucinations

Consensus Measures for Unstructured Biomedical Text Annotations

https://arxiv.org/html/2608.03529v1
Synthetic experiments show that soft reliability can be quantified using a variety of semantic equivalence measures, and that the choice of measure affects failure modes of the estimation

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https://arxiv.org/html/2609.03159v1
Description: arXiv is now an independent nonprofit

Artificial Intelligence

https://arxiv.org/list/cs.AI/new
, the meaning of a customized field) originates from users' domain knowledge and is rarely documented publicly

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https://arxiv.org/html/2608.03048v1
com/JetAstra/PI-Mem Introduction The ability to reason over long contexts is increasingly important for large language models (LLMs), supporting applications such as long-document question answering (Gemini Team 2025; Yang et al

[0801.0113] Spontaneously Localized Photonic Modes Due to Disorder in

https://arxiv.org/abs/0801.0113
0113] Spontaneously Localized Photonic Modes Due to Disorder in the Dielectric Constant Skip to main content Learn about arXiv becoming an independent nonprofit

Efficient Multilingual Neural Machine Translation via Corpus-Driven

https://arxiv.org/html/2608.03480v1
org perpetual non-exclusive license arXiv:2608

Mesoscale and Nanoscale Physics

https://arxiv.org/list/cond-mat.mes-hall/new
Together with metallic transport and a crystal-site density much lower than the doped carrier density, this supports metallic electron crystals in which a subset of carriers crystallizes

Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process

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]

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https://arxiv.org/html/2607.22511v2
In theoretical work, it presents a more direct risk: an incorrect theorem may be indistinguishable from a correct one until it is verified by an expert, but expert verification is slow and costly

Condensed Matter

https://arxiv.org/list/cond-mat/new
The mixed anomaly between these is accommodated by the not-on-site action of the symmetries

[2608.03883] DS@GT-ARC at eRisk 2026 Task 3: Sparse, Semantic, and LLM

https://arxiv.org/abs/2608.03883
arXiv is committed to these values and only works with partners that adhere to them

[2104.08663] BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of

https://arxiv.org/abs/2104.08663
Our results show BM25 is a robust baseline and re-ranking and late-interaction-based models on average achieve the best zero-shot performances, however, at high computational costs

[2608.03860] SciRet: A Compute-Aware Empirical Study of Retrieval and

https://arxiv.org/abs/2608.03860
arXiv is committed to these values and only works with partners that adhere to them

Information Retrieval

https://arxiv.org/list/cs.IR/new
IR) Industrial recommenders increasingly adopt the pretrain-then-transfer paradigm, yet behavioral distribution drift raises two questions: what to learn from behavior sequences, and how to transfer the learned knowledge while the pretrained model is continually refreshed

MODELING URBAN TRANSPORT CHOICES: INCORPORATING SOCIOCULTURAL ASPECTS

https://arxiv.org/html/2407.21307v1
By understanding how users decide on their commuting modes, it is possible to identify factors that can be influenced to change travel behavior and promote the adoption of more sustainable transportation modes

Don’t Let Me Ask for It: LLMs Show Deficiencies in Active Multi-Turn

https://arxiv.org/html/2608.03388v1
The modes vary in whether evidence is provided upfront or across turns, and whether queries are selected by the model or examples are provided by the oracle

References

https://arxiv.org/html/gr-qc/0510004v1
of the perfect fluid of which a classical universe is usually assumed to be made of, κ=0,±1\kappa=0,\pm 1 is the curvature index of the flat, closed, open universe, respectively, and γ\gamma is the constant adiabatic index of the cosmological fluid

Information Theory

https://arxiv.org/list/cs.IT/new
all New submissions (showing 11 of 11 entries) [1] arXiv:2608

General Relativity and Quantum Cosmology

https://arxiv.org/list/gr-qc/new
SR) We model the compact object Cen X-3, which is considered to be a good strange quark star candidate of known mass and radius, incorporating a negative anisotropic factor, and we compute the frequencies of the ten lowest radial oscillation modes

Multi-Agent Training for Pommerman: Curriculum Learning and Population

https://arxiv.org/html/2407.00662v2
This environment is an ideal benchmark for multi-agent training, providing a battleground for two teams with communication capabilities among allied agents

Instrumentation and Methods for Astrophysics

https://arxiv.org/list/astro-ph.IM/new
IM); General Relativity and Quantum Cosmology (gr-qc) With the observational accuracy of astrometric space telescopes such as Gaia, the Newtonian theoretical framework for positional astronomy is no longer appropriate

1Introduction

https://arxiv.org/html/0912.5375v1
org perpetual non-exclusive license arXiv:0912

Statistical Mechanics

https://arxiv.org/list/cond-mat.stat-mech/new
more | all New submissions (showing 12 of 12 entries) [1] arXiv:2608

Numerical Analysis

https://arxiv.org/list/cs.NA/new
The second objective is only partially addressed, as the gain in efficiency while maintaining acceptable accuracy for numerical implementation will be significant only for certain simple initial distribution of molecules and for specific diffusion coefficients

1 Introduction

https://arxiv.org/html/2506.01844v1
SmolVLA is designed to be trained on a single GPU and deployed on consumer-grade GPUs or even CPUs

Quantum Physics

https://arxiv.org/list/quant-ph/new
polynomial spectral gap promise on the combinatorial Hodge Laplacian, is known to be $\mathsf{QMA}_1$-hard and contained in $\mathsf{QMA}$ by King and Kohler (FOCS 2024)

Computer Vision and Pattern Recognition

https://arxiv.org/list/cs.CV/new
CV) Fine-grained wildlife classification in aerial imagery is limited not only by model performance, but also by unreliable labels: animals occupy few pixels, key visual cues vary seasonally, and modality-specific evidence can be ambiguous