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17 result(s) for “okapi bm25 site hotchips pp site have apache org site validator wt org site:arxiv.org” · 711 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: newest result fetched 26 d ago · median age of these results 26 d · 1 of 17 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
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends
https://arxiv.org/html/2501.13956v1
Current approaches using RAG have focused on broad domain knowledge and largely static corpora—that is, document contents added to a corpus seldom change
https://arxiv.org/html/2608.03048v1
Once all chunks have been processed, the model generates the final answer conditioned on the resulting memory (Yu et al
https://arxiv.org/html/2609.02852v1
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arXiv is now an independent nonprofit
https://arxiv.org/html/2607.22511v2
The pipeline represents each result as a logic graph whose nodes are statements, checks each node against the intended claim, and promotes missing lemmas into Causalean once they have been proved and reviewed
https://arxiv.org/abs/2608.03883
Have an idea for a project that will add value for arXiv's community
https://arxiv.org/abs/2104.08663
Have an idea for a project that will add value for arXiv's community
https://arxiv.org/abs/2608.03860
Have an idea for a project that will add value for arXiv's community
https://arxiv.org/abs/2608.01934
Have an idea for a project that will add value for arXiv's community
https://arxiv.org/abs/2006.01029
Have an idea for a project that will add value for arXiv's community
https://arxiv.org/html/2608.03118v1
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arXiv:2608
https://arxiv.org/list/cs.CL/new
LG)
Half a million cuneiform clay tablets survive in museums worldwide, yet modern users can neither read nor write in the world's oldest writing system, leaving a 4,000-year cultural barrier that existing NLP tools have only partially addressed
https://arxiv.org/list/cs.AI/new
CL)
Recent studies have identified an ``Artificial Hivemind'' effect in Large Language Models (LLMs) causing models to converge on a narrow, homogenized consensus even for open questions
https://arxiv.org/list/cs.IR/new
IR)
Large language models (LLMs) have emerged as promising listwise rerankers for recommender systems, but their reliability under equivalent candidate permutations remains unclear
https://arxiv.org/html/2407.16741v3
edu
Abstract
Software is one of the most powerful tools that we humans have at our disposal; it allows a skilled programmer to interact with the world in complex and profound ways
https://arxiv.org/list/cs.IR/recent
IR)
Tue, 4 Aug 2026 (showing first 34 of 45 entries )
[17] arXiv:2608
https://arxiv.org/list/cs.LO/new
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New submissions (showing 5 of 5 entries)
[1] arXiv:2608