VOL. 033
8 research signalsDAILY EDITION / SAVED SNAPSHOT
A dated Agentic RL Daily snapshot with 8 verified primary-source signals across papers, official releases, deployment evidence, and safety or alignment findings.
EDITOR'S VIEW
FULL EDITION
Archived / 2026-08-19
01
GraphWake: Group Polarization via Memory-Mediated Polarization Cascade in LLM-Agent Communities
LLM-driven agents can autonomously exchange opinions on online platforms and form communities. Such agent-operated social platforms raise a new security concern: attackers may manipulate agents to induce group polarization. Existing methods manipulate agent prompts or construct echo chambers, both o
02
OpenRLHF/OpenRLHF Release v0.11.0
## What's Changed * Fix two latent bugs: dr_grpo n=1 guard and masked_normalize broadcast by @hijkzzz in https://github.com/OpenRLHF/OpenRLHF/pull/1250 * fix: allow eval_dataset with MultiTurnAgentExecutor (#1242) by @codewithyug06 in https://github.com/OpenRLHF/OpenRLHF/pull/1251 * Fix Qwen3.5 ZeRO
03
verl-project/verl v0.9.0
# v0.9.0 ## Highlights ### Training #### Megatron - DeepSeek-V4 GRPO end-to-end with Megatron-Bridge actor/ref, vLLM rollout and FP8/MXFP4 weight transfer (#6473), plus a contiguous context-parallel layout (#7221) and CP fixes that make long-context DeepSeek-V4 runnable (#7297). - [Megatron Lite (`m
04
Benchmarking Automated Security Patch Backporting: How Far Are We?
Automated security patch backporting is critical for mitigating N-day vulnerabilities. Recent tools report success rates above 80% on their respective datasets. However, these evaluations are often confined to homogeneous environments, such as one repository or specific project versions. Consequentl
05
Delegation Asymmetry in Agentic Recommender Systems: Measuring Two-Sided Receptivity in Online Dating
Autonomous LLM agents that converse on a user's behalf are an emerging design pattern in matching platforms, yet their viability depends on a condition rarely examined: users must accept not only delegating conversation to an agent, but also receiving agent-mediated communication from others. We stu
06
StartupBench: Benchmarking General-Purpose Agents on Market-Validated End-to-End Workflows
Recent advances in Large Language Models(LLMs) and agents have substantially improved the ability of AI systems to execute complex tasks. Yet existing benchmarks largely rely on researcher-selected tasks, leaving uncertain whether such progress extends to the work that real-world users actually dema
07
EvoTS-Agent: A Self-Evolving LLM Agent for Financial Time Series Change Point Detection
Financial time series exhibit non-stationary and heterogeneous statistical properties, making change-point detection challenging because no single unsupervised algorithm performs consistently across assets and market regimes. Conventional workflows consequently depend heavily on expert-driven model
08
D$^2$ACCI: A Dual-Loop Diagnostic Protocol for Evidence-Preserving Agent Memory
Memory is a key capability of LLM agents. Persistent memory extends this across sessions---enabling recall, revision, and personalization. Yet its multi-stage pipeline (ingestion, retrieval, filtering, generation) makes failures difficult to localize: end-to-end evaluation reveals that an error occu