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30 result(s) for “okapi bm25 site terms com pp site levine ca site www irs gov site web archive site:arxiv.org” of 35 matched · 734 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
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
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/html/2407.16741v3
OpenDevin), a platform for the development of powerful and flexible AI agents that interact with the world in similar ways to those of a human developer: by writing code, interacting with a command line, and browsing the web
https://arxiv.org/html/2407.19144v1/
To overcome this limitation, we present the Collaborative Adaptation (CA) framework, highlighting its unique capability to operate in both continuous and discrete domains
https://arxiv.org/html/2609.03103v1
The resulting soft X-ray sky coverage is extremely valuable and has generated deep serendipitous XRT source catalogues [8], but it is an opportunistic archive rather than a designed survey
https://arxiv.org/html/2608.03063v1
8 pp in a production fraud detector serving billion-scale transaction traffic
https://arxiv.org/html/2608.03545v1
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https://arxiv.org/html/2608.03099v1
Taxonomy and Evidence Audit of Language Grounding in Embodied Agents
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https://arxiv.org/html/2407.01757v1
Pasadena (CA) 91109, USA Saptarshi Bandyopadhyay Jet Propulsion Laboratory - California Institute of Technology
4800 Oak Grove Dr
https://arxiv.org/html/2506.01844v1
7 Ablation Study
Cross-attention (CA) vs
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
Authors and titles for recent submissions
Wed, 5 Aug 2026
https://arxiv.org/list/cs.IR/new
CL)
Existing deep-research agents use a search-visit workflow that retrieves and reads whole pages, without considering the addressable structure that web sources expose through titles, headings, sections, and metadata
https://arxiv.org/list/econ.TH/new
We study the overlapping-generations learning model of Fudenberg and Levine (1993), in which finitely lived Bayesian agents are repeatedly and randomly matched with agents in other player roles, observe only their own matches, and learn from experience
https://arxiv.org/list/cs.CL/new
3% coverage), and a visual tablet renderer, packaged as a pip-installable toolkit with CLI and web demo
https://arxiv.org/list/cs.LG/2022-12
Lee, Claire Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni
Comments: Appeared in L4DC 2023
https://arxiv.org/list/cs.CL/2022-10
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Computation and Language
Authors and titles for October 2022
Total of 1397
https://arxiv.org/list/cs.LG/2022-11
Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell
Comments: Accepted to ICML 2023, see paper for changelog
Subjects: Machine Learning (cs
https://arxiv.org/list/q-bio/recent
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Quantitative Biology
Authors and titles for recent submissions
Wed, 5 Aug 2026
https://arxiv.org/html/2508.19205v1
com/microsoft/VibeVoice
Hugging Face: microsoft/VibeVoice
Demo: aka
https://arxiv.org/html/2407.00632v1
II Related Work
II-A Visual Object Navigation
II-B LLM-Based Cooperative Embodied Agents
II-C Multi-Agent Organizational Structures
III Problem Setup
IV CAMON Approach
IV-A Perception Module
IV-A1 Map Construction
IV-A2 Room Description
https://arxiv.org/list/cs.SY/new
The standard tools, classical and modern, each fail quantifiably: probing is punished before it pays, commitment is fatal at sub-disturbance excitation once adaptation is necessary, optimism degenerates to tie-breaking or pays asymptotically at least twice the optimum, and regret certificates are blind to the worst
https://arxiv.org/html/1802.00048v2
Tandon School of Engineering, New York University, New York, USA John Levine Affiliation: Computer and Information Science Department, University of Strathclyde, Glasgow, UK, E-mail Damien
https://arxiv.org/html/2407.03956v3
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https://arxiv.org/html/2607.28127v1
FinSMART transforms realized market outcomes into a direct supervision signal via a three-stage pipeline: (1) Data Alignment: Financial news articles are filtered and synchronized with publication-day market data to construct clean training pairs; (2) Dual-Filter Reward Evaluation: The behavior policy LLM generates
https://arxiv.org/html/2410.05779v3
com Both Chao Huang and Yanhua Yu are corresponding authors
https://arxiv.org/html/2402.03300v3
com/deepseek-ai/DeepSeek-Math
Abstract
Mathematical reasoning poses a significant challenge for language models due to its complex and structured nature