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26 result(s) for “okapi bm25 site hotchips pp site github com site text of de site rate builds this site:arxiv.org” · 858 ms
Scope: Nishi’s own index (our crawl + Common Crawl) — not the whole live web. Some sites block all automated crawlers (anti-bot walls), so their pages may be absent here even though we never filter lawful content.
Freshness: no result on this page carries a fetch time yet (indexed before the fetch epoch was stored beside the doc)
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
(3) Search latency bites only at very small reader: on a Spark GB10 edge node, memory-search adds a moderate and fixed 8787/77/4848 ms (BM25-RAG/Memobase/MemSearch) that composes a small part of TTFT for most reader-backend combinations
https://arxiv.org/list/cs.AI/new
This work bridges the principles of biological self-organisation with the practical domain of digital hardware
https://arxiv.org/html/2608.03486v1
Specifically, a general contrastive learning framework that makes use of this variation together with the assumed exponential-family structure is employed to recover the shocks
https://arxiv.org/html/2608.03703v1
This paper shows that an LETF can become the prey of rational arbitrageurs, and that the resulting predatory trading amplifies volatility and transfers substantial wealth from the funds’ own, largely retail, holders
https://arxiv.org/html/2501.13956v1
com
Abstract
We introduce Zep, a novel memory layer service for AI agents that outperforms the current state-of-the-art system, MemGPT, in the Deep Memory Retrieval (DMR) benchmark
https://arxiv.org/html/2608.03048v1
One family of approaches addresses this challenge by extending the natively supported context window through positional-encoding interpolation or extrapolation, thereby enabling direct processing of longer sequences without discarding input context (Chen et al
https://arxiv.org/html/2407.16741v3
As of this writing, OpenHands includes an agent hub with over 10 implemented agents (§3), including a strong generalist agent implemented based on the CodeAct architecture (Wang et al
https://arxiv.org/html/2608.02999v1
No bilingual text is known, proposed readings disagree about language and sign function (Parpola, 1994), and a prominent line of scholarship disputes whether the corpus is writing at all (Farmer et al
https://arxiv.org/list/cs.CL/new
This paper introduces Black-Box Optimization Word Problems (BBOWP), a novel problem setting in which a system must infer both a search space and an optimization algorithm from a natural-language description of a black-box optimization task
https://arxiv.org/html/2607.26405v1
This work derives closed-form costs, characterizes optimal pool weights, and shows that the optimized multi-currency pool dominates the status quo over a range of market parameters
https://arxiv.org/html/2402.03300v3
In this study, we introduce DeepSeekMath, a domain-specific language model that significantly outperforms the mathematical capabilities of open-source models and approaches the performance level of GPT-4 on academic benchmarks
https://arxiv.org/html/2205.01882v5
2 Details of the DVD Dataset
M Additional Empirical Application: Fishing-site Choice
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https://arxiv.org/html/2608.02909v1
In this paper, we propose a simple solution to these biases: instrumental variables constructed from multiple measures created on independent splits of the original data
https://arxiv.org/html/2609.03103v1
Report GitHub Issue
Description:
arXiv is now an independent nonprofit
https://arxiv.org/html/2607.22511v2
In empirical fields, this primarily increases the burden of review
https://arxiv.org/html/2403.08299v1
The landscape of software development has witnessed a paradigm shift with the advent of AI-powered assistants, exemplified by GitHub Copilot
https://arxiv.org/list/math/new
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This confirms a recent conjecture of Steinerberger, who asked whether the $\varepsilon^{1/2}$ ratio is the best possible
https://arxiv.org/abs/2608.03883
Because no annotated training data were released for this first edition of the task, we relied on zero-shot experimentation, manual validation, and unsupervised or weakly guided retrieval pipelines
https://arxiv.org/abs/2104.08663
To address this, and to facilitate researchers to broadly evaluate the effectiveness of their models, we introduce Benchmarking-IR (BEIR), a robust and heterogeneous evaluation benchmark for information retrieval
https://arxiv.org/abs/2608.03860
Which authors of this paper are endorsers
https://arxiv.org/list/cs.IR/recent
CL) [pdf, html, other]
Title: SciRet: A Compute-Aware Empirical Study of Retrieval and Reranking for Scientific RAG
Kaysarul Anas Apurba, Md
https://arxiv.org/list/cs.IR/new
We provide the core implementation of KGD at this https URL
https://arxiv.org/html/2407.01093v1
Only improving the architecture of agents hardly solves this problem, as the distributed agents lack a centralized component to regulate their behaviors
https://arxiv.org/abs/2607.24888
24888 (cs)
Title:Trusting-Trust Attack against an Entire Linux Distribution through Binary Manipulation
Abstract:Ken Thompson's trusting-trust attack, in which a compromised compiler backdoors the programs it builds and reproduces the backdoor in subsequent rebuilds of itself, is widely regarded as a threat specific
https://arxiv.org/list/econ.TH/new
TH)
This paper provides an axiomatic foundation for catastrophic thinking, a form of pessimism in which an agent evaluates uncertain alternatives by attending only to a subset of adverse outcomes
https://arxiv.org/list/cs.NA/new
The main objectives of this approach are to simplify the qualitative analysis of reaction-diffusion systems and to improve the efficiency of numerical model implementation