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30 result(s) for “okapi bm25 site terms com pp site levine ca site github com site times age co site:arxiv.org” of 37 matched · 1081 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

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Report GitHub Issue

https://arxiv.org/html/2608.02613v1

With the interaction history, it co-generates ground truth over six recall, reasoning, and trustworthiness evaluation dimensions

Report GitHub Issue

https://arxiv.org/html/2608.03063v1

8 pp in a production fraud detector serving billion-scale transaction traffic

Report GitHub Issue

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

1 Introduction

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

1 Introduction

https://arxiv.org/html/2407.16741v3

com/All-Hands-AI/OpenHands Slack http://bit

Report GitHub Issue

https://arxiv.org/html/2609.03103v1

Report GitHub Issue Description: arXiv is now an independent nonprofit

Report GitHub Issue

https://arxiv.org/html/2608.03545v1

× Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv Why HTML? Report Issue Back to Abstract Download PDF

1 Introduction

https://arxiv.org/html/2506.01844v1

7 Ablation Study Cross-attention (CA) vs

Artificial Intelligence

https://arxiv.org/list/cs.AI/new

Skip to main content System maintenance August 4th and 5th Learn more × Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Artificial Intelligence New submissions Cross-lists Replacements See recent

VibeVoice Technical Report

https://arxiv.org/html/2508.19205v1

com/microsoft/VibeVoice Hugging Face: microsoft/VibeVoice Demo: aka

Collaborative Adaptation for Recovery from Unforeseen Malfunctions in

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

What Language Does and What the Evidence Supports: A Functional Role

https://arxiv.org/html/2608.03099v1

Taxonomy and Evidence Audit of Language Grounding in Embodied Agents Report GitHub Issue × Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent

Report GitHub Issue

https://arxiv.org/html/2608.00426v1

Code is available at the link: https://github

Solving Zebra Puzzles Using Constraint-Guided Multi-Agent Systems

https://arxiv.org/html/2407.03956v3

Report GitHub Issue × Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv Why HTML? Report Issue Back to

1 Introduction

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

Computation and Language

https://arxiv.org/list/cs.CL/new

With the interaction history, it co-generates ground truth over six recall, reasoning, and trustworthiness evaluation dimensions

1 Introduction

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

Distributed Instruments for Planetary Surface Science: Scientific

https://arxiv.org/html/2407.01757v1

Pasadena (CA) 91109, USA Saptarshi Bandyopadhyay Jet Propulsion Laboratory - California Institute of Technology 4800 Oak Grove Dr

1 Introduction

https://arxiv.org/html/2407.15077v2

2 Problem Definition 3 Method 3.1 Monotonic Improvement of B2MAPO scheme 3.2 B2MAPO Framework 3.2.1 Batch Sequence Generation Layer 3.2.2 Batch by Batch Policy Optimization Layer 4 DAG-based B2MAPO Algorithm 4.1 Hierarchical DAG

[2608.03883] DS@GT-ARC at eRisk 2026 Task 3: Sparse, Semantic, and LLM

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

[2104.08663] BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of

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

[2608.03860] SciRet: A Compute-Aware Empirical Study of Retrieval and

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

Information Retrieval

https://arxiv.org/list/cs.IR/recent

Skip to main content System maintenance August 4th and 5th Learn more × Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Information Retrieval Authors and titles for recent submissions Wed, 5 Aug 2026

1 Introduction

https://arxiv.org/html/2410.05779v3

com Both Chao Huang and Yanhua Yu are corresponding authors

Information Retrieval

https://arxiv.org/list/cs.IR/new

Skip to main content System maintenance August 4th and 5th Learn more × Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Information Retrieval New submissions Cross-lists Replacements See recent

Report GitHub Issue

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

Systems and Control

https://arxiv.org/list/cs.SY/new

The optimal policy is certainty-equivalent deadbeat control at the midpoint of the set-membership consistent interval, an instance of the robust oracle $\times$ consistent model chasing architecture

Theoretical Economics

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

Computation and Language Oct 2022

https://arxiv.org/list/cs.CL/2022-10

Published in the Program and Abstract Booklet of Workshop on Constructive Approaches to Co-Creative Communication in Joint Conference on Language Evolution, 2022 Subjects: Computation and Language (cs

Machine Learning Dec 2022

https://arxiv.org/list/cs.LG/2022-12

Lee, Claire Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni Comments: Appeared in L4DC 2023