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30 result(s) for “okapi bm25 site hotchips pp site hotchips pp site terms com pp site read it site:arxiv.org” of 142 matched · 509 ms
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Freshness: newest result fetched 26 d ago · median age of these results 26 d · 1 of 30 carry a fetch time
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
from the top result below
https://arxiv.org/html/2608.02613v1
Instead, it falls on local, personal agents to effectively and safely maintain/utilize such dense person-person (PP) and person-agent (PA) interaction histories
https://arxiv.org/html/2205.01882v5
2 Details of the DVD Dataset
M Additional Empirical Application: Fishing-site Choice
M
https://arxiv.org/html/2412.12213v2
Importantly, FINN extends beyond liquid option markets: it can be trained directly on historical spot prices to construct coherent option prices and Greeks for assets with no listed options
https://arxiv.org/html/2407.02342v1
Index Terms:
Vehicular Edge Computing, Age of Information, Multi-agent Deep Reinforcement Learning, Federated Learning, Graph Neural Networks
https://arxiv.org/html/2608.03703v1
An LETF must trade in the direction of the day’s move at a close that also measures it, so its demand rises in price, and arbitrageurs buying ahead of it enlarge the order by trading at the print, then unload into what they manufactured
https://arxiv.org/html/2608.02668v1
Sphere pp-Angular Retraction Normalization
https://arxiv.org/html/2608.03452v1
de
Abstract
When a transformer learns an irregular morphological pattern, what has it learned
https://arxiv.org/html/2607.27188v1
This RND supports tail probabilities, quantiles, and risk-neutral moments, but it is not directly observed
https://arxiv.org/html/2608.03529v1
ch
Abstract
Biomedical literature is increasingly mined for knowledge beyond the questions it was written to answer
https://arxiv.org/html/2608.03086v1
Such image-guided planning makes it difficult to fully understand the three-dimensional spatial relationship between the tumor and surrounding anatomical structures, as well as the true tumor volume and morphology [1, 13]
https://arxiv.org/html/2608.00458v1
Yet, it introduces tremendous input tokens for agent processing, potentially raising inference latency and computational overhead
https://arxiv.org/html/2609.02852v1
A linguistically-decodable feature is one that is defined in terms of natural language, and is extracted directly from a model’s natural-language outputs or indirectly via mechanistic probes like sparse autoencoders Bricken et al
https://arxiv.org/html/2608.03480v1
com Arabic Institute for Translation, Algiers, Algeria CERIST, Algeria Nasredine Semmar CEA LIST, Paris-Saclay, France Hassina Aliane CERIST, Algeria
Abstract
The adoption of large pre-trained multilingual models for neural machine translation (MNMT) faces a major challenge: excessive memory and computational
https://arxiv.org/html/2608.03011v1
Built upon the flow-matching-based F5-TTS, it uses a speech-environment separation module to decompose environmental speech into speech, noise, and reverberation components, which are injected into the Diffusion Transformer for environment-aware generation
https://arxiv.org/html/2607.28410v1
com/zaneopen/PACE
1 Introduction
Reducing execution costs is a central objective for financial institutions (Bertsimas and Lo 1998)
https://arxiv.org/html/2608.03063v1
8 pp in a production fraud detector serving billion-scale transaction traffic
https://arxiv.org/html/2608.02909v1
For example, an LLM’s estimate of an article’s slant or the emotional content of text may only be a proxy for the true value, as it uses a limited sample and subject to idiosyncratic (e
https://arxiv.org/html/2407.10811v1
Recently, employing reinforcement learning (RL) to solve TSC has become a research hotspot since it does not require too much artificial priori and can improve performance significantly through the paradigm of trial and error
https://arxiv.org/html/2608.03154v1
We evaluated it on three BioRE benchmarks (SemRepGS, DDI, and ChemProt) using both proprietary and open-weight LLMs
https://arxiv.org/html/2410.19947v2
Applying it to the National Longitudinal Survey of Youth 1997, we find unobserved marriage prospects significantly influence college major choice
https://arxiv.org/html/2407.13076v1
To address this issue, it is critical to carefully allocate transmission parameters such as the channel (CH), transmission power (TP) and spreading factor (SF) to each end device (ED)
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/2407.04974v1
Unlike many existing dec-POMDP-based RL approaches, the proposed algorithm is suitable for model-free multi-agent reinforcement learning as it does not require knowledge of a transition model
https://arxiv.org/pdf/2607.27188v1
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https://arxiv.org/pdf/2508.11152
com three Proceedings of ACM Conference (Conference'17) book 1 1 9 9 Tianjiao ZhaoJingrao LyuStokes JonesHarrison GarberStefano PasqualiDhagash Mehtahttp://arxiv
https://arxiv.org/pdf/2608.03157
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https://arxiv.org/html/2609.03027v1
EPIC offers most benefits over traditional correlator and beamformer architectures when the aperture array consists of a larger number of elements packed densely [29, 28, 30] and when imaging the full field of view is required, where it approaches an efficiency ∼NelogNe\sim N_{\textrm{e}}\log N_{\textrm{e}}
https://arxiv.org/pdf/2608.02817
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https://arxiv.org/html/2607.27063v1
Independently, a signal diffuses through the network and changes the beliefs of investors it reaches
https://arxiv.org/html/2607.28577v1
We introduce Shadow Before Swap (SBS), a deployment policy that warm-refits a challenger off the serving path, evaluates it against the maintained incumbent on the same next week of delayed labels, and promotes it only after a fixed paired negative-log-likelihood (NLL) advantage