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15 result(s) for “okapi bm25 site hotchips pp site github com site os dev site www in washington ed site:arxiv.org” · 1258 ms
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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
from the top result below
https://arxiv.org/html/2608.02613v1
7 Extrapolation across readers for cache-replay backends
TTFT rows in Table 3
https://arxiv.org/html/2407.16741v3
2 Agent Runtime: How Execution of Actions Results in Observations
2
https://arxiv.org/html/2608.03048v1
To address these issues, we propose PI-Mem (Parallel-Iterative Memory), a mechanism that processes all chunks in parallel and iteratively refines a shared memory over a bounded number of turns
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/2410.19947v2
We also appreciate the input received during the 2023 Taiwan Economics Research Conference, the Conference in Celebration of Hashem Pesaran’s Achievements, and Econometric Society World Congress (Seoul, 2025)
https://arxiv.org/html/2608.03372v1
The deployment contract, in one paragraph
https://arxiv.org/html/2608.03446v1
cz
1 Introduction
Multilingual large language models (LLMs) exhibit remarkable multilingual capabilities (singh-etal-2025-global) in tasks such as machine translation (goyal-etal-2022-flores), reading comprehension (bandarkar-etal-2024-belebele), and text classification (adelani-etal-2024-sib), among others
https://arxiv.org/list/cs.AI/new
In practice, many field descriptions remain ambiguous or incomplete, as much of the essential context (e
https://arxiv.org/abs/2608.03883
All submitted systems follow a staged retrieval design in which BM25 retrieves candidates at scale and semantic or LLM rerankers refine the final rankings
https://arxiv.org/abs/2104.08663
Benchmark for Zero-shot Evaluation of Information Retrieval Models, by Nandan Thakur and 4 other authors
View PDF HTML (experimental)
Abstract:Existing neural information retrieval (IR) models have often been studied in homogeneous and narrow settings, which has considerably limited insights into their out-of
https://arxiv.org/abs/2608.03860
generation for scientific question answering over CORD-19
https://arxiv.org/list/cs.IR/recent
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Information Retrieval
Authors and titles for recent submissions
Wed, 5 Aug 2026
https://arxiv.org/list/cs.IR/new
In a live A/B test on Shopee Homepage Search, it increases GMV per user by 1
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/abs/2203.08771
Zhou
View a PDF of the paper titled Searches for Baryon Number Violation in Neutrino Experiments: A White Paper, by P