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30 result(s) for “okapi bm25 site hotchips pp site terms com pp site www panel com site terms com site:arxiv.org” of 37 matched · 917 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
2 pp, exceeding MemSearch reader scaling (+10
https://arxiv.org/html/2608.02971v1
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https://arxiv.org/html/2607.28577v1
The effect remains directionally consistent across seeds, trial budgets, promotion margins, an earlier 20-asset panel, and a topology-matched supervised objective
https://arxiv.org/html/2410.19947v2
affect college major choice?1footnote 11footnote 1We are grateful for the valuable feedback from seminar participants at the National University of Singapore, the University of Notre Dame, the University of Pennsylvania, Mississippi State
https://arxiv.org/html/2608.00328v2
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https://arxiv.org/html/2607.28323v1
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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/2412.12213v2
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https://arxiv.org/html/2607.29281v2
Empirical Practice
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https://arxiv.org/html/2607.28847v1
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https://arxiv.org/html/2608.03703v1
7 Panel, inference, and coverage gates
E Quantification Details
E
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
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
https://arxiv.org/list/cs.CL/new
2 pp, exceeding MemSearch reader scaling (+10
https://arxiv.org/list/cs.AI/new
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Artificial Intelligence
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https://arxiv.org/abs/2608.03883
Our systems combine sparse BM25 retrieval, evidence-aware rescoring for self-referential symptom reports, embedding-based reranking, query-prototype expansion, and LLM-based reranking
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
https://arxiv.org/abs/2608.03860
The pipeline combines sentence-window chunking, BM25, BGE-M3 dense retrieval, reciprocal rank fusion, optional cross-encoder reranking, and grounded answer generation
https://arxiv.org/list/cs.IR/recent
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Information Retrieval
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Wed, 5 Aug 2026
https://arxiv.org/list/econ.EM/2026-04
Duffy, Sophocles Mavroeidis
Comments: ii + 44 pp
https://arxiv.org/list/cs.IR/new
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https://arxiv.org/html/2407.16741v3
com/All-Hands-AI/OpenHands
Slack http://bit
https://arxiv.org/html/2508.20101v1
The model combines classical GARCH(pp, qq) dynamics with spatially correlated innovations and spatially varying parameters, estimated using local likelihood methods
https://arxiv.org/html/2607.27070v1
com
Abstract
Do crypto perpetual-futures crashes carry a reproducible early-warning fingerprint of a critical transition, and in which state variable
https://arxiv.org/html/2608.03044v1
Evaluating six matched base and post-trained models on the Pew American Trends Panel, we find that base models are stronger emulators: they produce response distributions closer to human ground truth and better preserve demographic structure
https://arxiv.org/html/2607.22511v2
•
Causalean, a broad Lean 4 formalization of causal inference spanning graphical and structural causal models, potential outcomes and identification, panel methods, experimentation, estimation, and statistical theory
https://arxiv.org/html/2608.03153v1
In Korean panel data the corrected gap widens severalfold across the prime-age workforce, where the selection correction becomes first order
https://arxiv.org/html/2608.00426v1
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https://arxiv.org/html/2608.03089v1
Language Model Pretraining
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https://arxiv.org/html/2609.03371v1
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arXiv:2609.03371v1 [astro-ph.IM] 03 Sep 2026
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