·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
NewsBench: Expert-Grounded Evaluation of Epistemic Quality in AI News Reporting5h◆AdaPRA: Process Reward Agents with Adaptive Rubrics for Data Science5h◆Scoped Semantic Invariance as a Foundation for LLM Reliability5h◆An actively trained neural operator for near-explicit atmospheric chemistry5h◆InferPriv: Evaluating Inferential Privacy Leakage in LLM Assistants5h◆ThinkBit: Search Codewords, Recalibrate Scales, Select by Reasoning5h◆Multimodal Requirements Traceability Link Recovery in Industrial Settings5h◆The Price of Scale in Proactive Memory Recall5h◆GUIFlow: Temporal Redundancy-Aware Incremental Inference for GUI Agents5h◆The Value of Memory in Language Agents5h◆HyScale: Scaling Long-Context Training for Learned Sparse Attention5h◆Training an MoE LLM in MXFP4: How We Closed the Gap to BF165h◆WiMoT: Replay-Free Continual Wi-Fi Sensing via Moment Transport5h◆Advancing SVD-based LLM Compression via Layer-Wise Error Model Search5h◆Unbiased Alignment for Large Language Models with Noisy Preferences5h◆AdaptTok-Indic: Script-Aware Adaptive Tokenization for Indic Languages5h◆Synthetic Child-Adult Interactions Are Not Developmentally Plausible5h◆VX-One: Typed, Calibrated Decision Heads for Real-Time Perimeter Triage5h◆Conditional Flow Models for Offline Maximum Entropy Reinforcement Learning5h◆Neural Disjunctive Normal Forms for Learning Exact Rank Filters5h◆NewsBench: Expert-Grounded Evaluation of Epistemic Quality in AI News Reporting5h◆AdaPRA: Process Reward Agents with Adaptive Rubrics for Data Science5h◆Scoped Semantic Invariance as a Foundation for LLM Reliability5h◆An actively trained neural operator for near-explicit atmospheric chemistry5h◆InferPriv: Evaluating Inferential Privacy Leakage in LLM Assistants5h◆ThinkBit: Search Codewords, Recalibrate Scales, Select by Reasoning5h◆Multimodal Requirements Traceability Link Recovery in Industrial Settings5h◆The Price of Scale in Proactive Memory Recall5h◆GUIFlow: Temporal Redundancy-Aware Incremental Inference for GUI Agents5h◆The Value of Memory in Language Agents5h◆HyScale: Scaling Long-Context Training for Learned Sparse Attention5h◆Training an MoE LLM in MXFP4: How We Closed the Gap to BF165h◆WiMoT: Replay-Free Continual Wi-Fi Sensing via Moment Transport5h◆Advancing SVD-based LLM Compression via Layer-Wise Error Model Search5h◆Unbiased Alignment for Large Language Models with Noisy Preferences5h◆AdaptTok-Indic: Script-Aware Adaptive Tokenization for Indic Languages5h◆Synthetic Child-Adult Interactions Are Not Developmentally Plausible5h◆VX-One: Typed, Calibrated Decision Heads for Real-Time Perimeter Triage5h◆Conditional Flow Models for Offline Maximum Entropy Reinforcement Learning5h◆Neural Disjunctive Normal Forms for Learning Exact Rank Filters5h◆
News/RetailBench: Benchmarking long horizon reasoning and coherent decision making of LLM agents in realistic retail environments
arxiv
PublishedJune 20, 2026 at 4:00 AM
—neutral

RetailBench: Benchmarking long horizon reasoning and coherent decision making of LLM agents in realistic retail environments

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2606.15862v2 Announce Type: replace Abstract: Large language model (LLM) agents have made rapid progress on short-horizon, well-scoped tasks, yet their ability to sustain coherent decisions in dynamic long-horizon environments remains uncertain. We introduce RetailBench, a data-grounded simula

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#benchmark#evaluation#autonomy#decision-making

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#benchmark#evaluation#autonomy#decision-making

Related coverage

More from ARXIV
arxivNewsBench: Expert-Grounded Evaluation of Epistemic Quality in AI News Reporting5harxivAdaPRA: Process Reward Agents with Adaptive Rubrics for Data Science5harxivScoped Semantic Invariance as a Foundation for LLM Reliability5harxivAn actively trained neural operator for near-explicit atmospheric chemistry5h
The Bubble Brief
MON · WED · FRI

Read benchmark insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews