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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
Instead, it falls on local, personal agents to effectively and safely maintain/utilize such dense person-person (PP) and person-agent (PA) interaction histories
https://arxiv.org/html/2407.16741v3
com/All-Hands-AI/OpenHands
Slack http://bit
https://arxiv.org/list/cs.AI/new
To bridge this gap, we introduce a novel and comprehensive Interactive SEmantic Enrichment system (ISEE)
https://arxiv.org/html/2510.03215v2
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arXiv is now an independent nonprofit
https://arxiv.org/html/2608.03063v1
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Abstract
https://arxiv.org/abs/2608.03883
Abstract:This paper describes our submissions to eRisk 2026 Task 3, ADHD Symptom Sentence Ranking
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/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/abs/2104.08663
To address this, and to facilitate researchers to broadly evaluate the effectiveness of their models, we introduce Benchmarking-IR (BEIR), a robust and heterogeneous evaluation benchmark for information retrieval
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/list/cs.CL/new
Accepted to C3NLP @ ACL 2026
Subjects: Computation and Language (cs
https://arxiv.org/html/2608.02616v1
com
Abstract
We present the first independent, systematic evaluation of OpenAI’s Privacy Filter (OPF), a 1
https://arxiv.org/html/2607.26245v1
edu
Abstract
OpenMarket began as an attempt to trade Polymarket’s BTC 15-minute binary markets against Binance BTC/USDT order flow
https://arxiv.org/html/2608.03655v1
Abstract
Abstractive summarization models remain vulnerable to factual inconsistency, redundancy, and weak length control
https://arxiv.org/html/2509.22186v2
com/opendatalab/MinerU \metadata[Model:]https://huggingface
https://arxiv.org/html/2407.02518v2
com
Abstract
Large language models (LLMs) for code are typically trained to align with natural language instructions to closely follow their intentions and requirements
https://arxiv.org/html/2407.04503v4
2 To what extent do multi-turn transmissions affect the evolution of properties
https://arxiv.org/html/2506.01844v1
However, existing VLAs are typically massive–often with billions of parameters–leading to high training costs and limited real-world deployability
https://arxiv.org/abs/1803.01875
We then introduce the three major suggested luminosity sources to explain the huge luminosities of superluminous supernovae, i
https://arxiv.org/abs/1910.03771v4
03771v4] HuggingFace's Transformers: State-of-the-art Natural Language Processing
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https://arxiv.org/abs/1910.03771v5
03771v5] HuggingFace's Transformers: State-of-the-art Natural Language Processing
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arXiv is now an independent nonprofit
https://arxiv.org/abs/1910.03771
03771] HuggingFace's Transformers: State-of-the-art Natural Language Processing
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arXiv is now an independent nonprofit
https://arxiv.org/abs/1202.4083
4083] Search for neutral Higgs bosons decaying to tau pairs in pp collisions at sqrt(s) = 7 TeV
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https://arxiv.org/abs/2206.15147v2
Additionally, we maintain both the source web page URL and the WARC shard origin URL in order to complain with EU regulations
https://arxiv.org/abs/2206.15147
Additionally, we maintain both the source web page URL and the WARC shard origin URL in order to complain with EU regulations
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/abs/2305.08291
08291] Large Language Model Guided Tree-of-Thought
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https://arxiv.org/abs/2403.08299v1
Abstract:The landscape of software development has witnessed a paradigm shift with the advent of AI-powered assistants, exemplified by GitHub Copilot
https://arxiv.org/abs/1705.08740
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https://arxiv.org/abs/2403.08299
08299] AutoDev: Automated AI-Driven Development
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