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14 result(s) for “okapi bm25 site hotchips pp site paying systems site else exchange energy gov site:arxiv.org” · 603 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
22 Ablation Sweep on permission-aware access
C Edge-Device Latency & Energy Methodology
C
https://arxiv.org/html/2608.03703v1
Regulators, legislators and the press have converged on one explanation: the sixteen single-stock 2×2\times leveraged and inverse exchange-traded funds (LETFs) that the Korea Exchange listed on May 27 on Samsung Electronics and SK Hynix, together half the index
https://arxiv.org/list/cs.AI/new
Biological systems, in contrast, exhibit adaptive plasticity, maintaining function through dynamic re-organisation around damage
https://arxiv.org/html/2501.13956v1
2 Knowledge Graph Construction
2.1 Episodes
2.2 Semantic Entities and Facts
2.2.1 Entities
2.2.2 Facts
2.2.3 Temporal Extraction and Edge Invalidation
2.3 Communities
3 Memory Retrieval
3.1 Search
3.2 Reranker
4 Experiments
4.1 Choice
https://arxiv.org/html/2608.03048v1
In the next turn, all chunks are read again conditioned on the updated memory, allowing evidence discovered in one chunk to guide extraction from other chunks and thereby enabling cross-chunk information exchange
https://arxiv.org/list/cs.CL/new
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends
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
2024), user-facing AI systems (such as ChatGPT) have become increasingly capable of performing complex tasks such as accurately responding to user queries, solving math problems, and generating code
https://arxiv.org/html/2407.05132v1
Wasted consumption of energy and time cause financial damages to the economy, and avoidable emissions contribute to global warming and the climate change [arnott1994economics, koetse2009impact, zhang2013air]
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
We leverage a careful selection of 18 publicly available datasets from diverse text retrieval tasks and domains and evaluate 10 state-of-the-art retrieval systems including lexical, sparse, dense, late-interaction and re-ranking architectures on the BEIR benchmark
https://arxiv.org/list/cs.IR/recent
IR)
Tue, 4 Aug 2026 (showing first 34 of 45 entries )
[17] arXiv:2608
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/html/2608.03153v1
Quantile regression estimates show a pronounced pattern by 2016–2019: the gap has effectively closed at the 10th percentile but remains approximately 5% at the 90th, consistent with [Goldin (2014)]’s hypothesis about high-paying positions (“greedy jobs”)