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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
8 Caveats and limitations
License: CC BY 4
https://arxiv.org/list/cs.AI/new
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Artificial Intelligence
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https://arxiv.org/html/2608.03048v1
4 Case 4: PI-Mem on the Same HQA Sample
License: CC BY 4
https://arxiv.org/html/2407.16741v3
com/All-Hands-AI/OpenHands
Slack http://bit
https://arxiv.org/list/cs.CL/new
1K text-only ego-observed tokens/agent/day)
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/2609.02852v1
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https://arxiv.org/html/2410.17799v2
Audio samples of dialogues generated by OmniFlatten can be found at this web site 111https://omniflatten
https://arxiv.org/html/2607.29281v2
111Author’s calculations based on the full text of the universe of papers published in AER, AER:Insights, AEJ:Applied, AEJ:EconPolicy, and AER:P&P from 2015 to 2025
https://arxiv.org/html/2607.22511v2
The source code, formal library, and run records are available at https://github
https://arxiv.org/html/2608.01366v2
org perpetual non-exclusive license
arXiv:2608
https://arxiv.org/html/2403.08299v1
The landscape of software development has witnessed a paradigm shift with the advent of AI-powered assistants, exemplified by GitHub Copilot
https://arxiv.org/html/2608.00426v1
org perpetual non-exclusive license
arXiv:2608
https://arxiv.org/html/2407.17789v2
org perpetual non-exclusive license
arXiv:2407
https://arxiv.org/list/cs.SE/new
Through an analysis of 1,966 open source projects, 1,355 Github issues, 444 CVE reports, and 361 StackOverflow posts, we systematically map the feature support and real-world usage of globs across six common ecosystems that utilize globs
https://arxiv.org/html/2609.03159v1
The Accretion Explorer Interferometer NIAC Phase I Study Team
Principal Investigator: Kimberly A. Weaver (NASA/GSFC, Code 662)
Co-Investigators:
Kenneth Carpenter (NASA/GSFC, Code 667)
Maurice Leutenegger (NASA/GSFC, Code 662)
Takashi
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/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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https://arxiv.org/html/2608.03044v1
6 First-token Extraction
License: CC BY 4
https://arxiv.org/list/cs.IR/new
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https://arxiv.org/html/2407.01093v1
Our codes and prompts are available at https://github
https://arxiv.org/abs/2405.20232
optimal goal assignment
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Computer Science > Multiagent Systems
arXiv:2405.
https://arxiv.org/abs/2405.20232?context=cs
optimal goal assignment
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Computer Science > Multiagent Systems
arXiv:2405.20232 (cs)
[Submitted on 30 May 2024]
Title:Distributed
https://arxiv.org/html/2407.17766v1
in
Abstract
This work introduces a Strategic Pseudo-Goal Perturbation (SPGP) technique, a novel approach to resolve deadlock situations in multi-agent navigation scenarios
https://arxiv.org/html/2608.01024v1
org perpetual non-exclusive license
arXiv:2608
https://arxiv.org/html/1802.00048v2
Deceptive games can be seen as exploiting a specific cognitive bias11 1 To simplify the text we talk about the game as if it has agency and intentions; in truth the intentions and agency lies with the game’s designer, and all text should be understood in this regard
https://arxiv.org/html/2407.01501v2
The agents need to resist the temptation of individual rewards through foraging and choose the collective long-term goal of sustainability
https://arxiv.org/html/2407.14218v1
com , Iraklis Varlamis Department of Informatics and TelematicsHarokopio University of AthensAthensGreece varlamis@hua