arXiv:2609.39146v1 Announce Type: new Abstract: Multi-agent debate (MAD) can improve large language model (LLM) reasoning by allowing multiple agents to…
RefCon: Iterative Refinement and Contrastive Memory Extraction for Context-Evolving Agent
arXiv:2609.39143v1 Announce Type: new Abstract: Long-horizon agent interactions generate useful but noisy experience, and retraining models to absorb it…
Multi-LLM Collaborative Alignment via Stackelberg Games
arXiv:2609.39076v1 Announce Type: new Abstract: A pool of language models can collaborate and improve collectively by learning from one another’s…
Beyond Prediction: Steering VLM Agents with Retrospective World Modeling
arXiv:2609.39101v1 Announce Type: new Abstract: Equipping VLM agents with world modeling capabilities has shown strong potential for complex reasoning and…
C-STRIDE: An Observation-Driven AI Digital Twin for Predicting Basin-Wide Flood Fields from Sparse Stream-Gauge Histories
arXiv:2609.39005v1 Announce Type: new Abstract: Emergency managers need to know where floodwater is, how deep it is, and how it will change over the…
Search Shapes Conclusions: Auditing Evidence Selection Bias in Deep Research Agents
arXiv:2609.39026v1 Announce Type: new Abstract: Deep Research agents synthesize evidence into cited reports, yet a well-cited report can still reach a…
Reserve-Aware Contrast Certificates for Conservative Bandits with Uncertain Baselines
arXiv:2609.39106v1 Announce Type: new Abstract: Conservative bandits must improve an incumbent policy without exhausting a prescribed performance budget.…
AI News Brief Hourly Summary 2026-10-01 13h : 11 posts
11 posts published in the last hour 10:33RealWorldShop: Benchmarking and Improving Conversational Shopping Agents in Real-World E-commerce 10:33Alleviating Hallucination in Reasoning Tasks with Training-Free Uncertainty-Guided Steering 10:33Targeted Retrieval, Compact Representations: How CoT Reasoning Improves Long-Context Counting 10:33When Order Matters: First-Speaker…
RealWorldShop: Benchmarking and Improving Conversational Shopping Agents in Real-World E-commerce
arXiv:2609.38974v1 Announce Type: new Abstract: Large language models are reshaping ecommerce from static recommenders into interactive shopping…
Alleviating Hallucination in Reasoning Tasks with Training-Free Uncertainty-Guided Steering
arXiv:2609.38962v1 Announce Type: new Abstract: Recent work on hallucination detection in large language models has shown that, for a fixed pre-trained…
Targeted Retrieval, Compact Representations: How CoT Reasoning Improves Long-Context Counting
arXiv:2609.38958v1 Announce Type: new Abstract: Large language models (LLMs) have been rapidly improving in long-context tasks, powered by…
When Order Matters: First-Speaker Bias and Mitigation through Personality in Sequential Multi-Agent Debate
arXiv:2609.38964v1 Announce Type: new Abstract: Multi-agent debate (MAD) is often used to improve large language model (LLM) reasoning, but sequential…
Routing Probes Can Improve Without New Information: An Exact-Null Audit of Uncertainty Beyond Model Outputs
arXiv:2609.38956v1 Announce Type: new Abstract: Routing signals of modern vision transformers — expert gates, attention-residual weights and halting…
Prototype-guided Bilateral Alignment Multimodal Federated Learning
arXiv:2609.38925v1 Announce Type: new Abstract: Multimodal federated learning (MFL) has emerged as a pivotal paradigm for leveraging distributed data to…
Risk-Aware Adaptive Evaluation: Finding High-Impact Failures Under Limited Budgets
arXiv:2609.38914v1 Announce Type: new Abstract: Evaluating interactive agents is expensive. Agent behavior is stochastic, so reliability must be measured…
Learning What to Forget: Distributional Unlearning for LLM Representation Spaces
arXiv:2609.38929v1 Announce Type: new Abstract: Machine learning systems increasingly face the need to remove the influence of entire data domains, such…
How Much Can Reliability Drift Under a Fixed Confidence Distribution?
arXiv:2609.38917v1 Announce Type: new Abstract: A classifier’s conditional accuracy can change while its confidence distribution stays exactly the same.…
Composing Task-specific Agent Harnesses at Test Time with Reusable Primitives
arXiv:2609.38912v1 Announce Type: new Abstract: Agent harnesses govern how large language models (LLMs) gather context, invoke tools, verify results,…