Tracked topic
Large language models are machine learning models trained to predict and generate text and other language-based outputs.
…We evaluate eight LLMs under two agent frameworks in 48 runs, each spanning 365 simulated days. Our results reveal a substantial gap between even the latest LLMs and human participants, with the…
Papers arxiv:2607.05391 LLM-as-a-Verifier: A General-Purpose Verification Framework Published on Jul 6 Submitted by taesiri on Jul 7 Authors: , , , , , , , , Abstract LLM-as-a-Verifier introduces a probabilistic…
Papers arxiv:2605.28510 Efficient and Scalable Provenance Tracking for LLM-Generated Code Snippets Published on May 27 Submitted by Andrea Gurioli on May 28 Authors: , , , , Abstract A hybrid approach combining vector…
Papers arxiv:2606.04978 Probing Outcome-Level Resemblance and Mechanism-Level Alignment in LLM Risk Decisions: Evidence from the St. Petersburg Game Published on Jun 3 Submitted by BruceLyu on Jun 4…
…Existing LLM-based data curation methods primarily rely on human-designed workflows, leaving it unexamined whether LLMs can autonomously execute an end-to-end data engineering pipeline for model specialization . We formalize…
…With the ever-growing list of available LLMs, inference routers are being proposed to select the most appropriate LLM for each prompt. However, existing routing methods either optimize cost across weak-to…
Papers arxiv:2605.30260 How LoRA Remembers? A Parametric Memory Law for LLM Finetuning Published on May 28 Submitted by Ningyu Zhang on May 29 AGI Lab Authors: , , , , , , Ningyu Zhang Abstract Research…
…Robust LLM Unlearning via Representation Selectivity Published on Jun 15 Submitted by YY on Jun 17 University of Oxford Authors: , , Abstract RepSelect isolates forget-set-specific representations in LLMs by collapsing top…
…Predictive Queue-Informed KV Cache Management for LLM Serving (2026) Lodestar: An Online-Learning LLM Inference Router (2026) Recency/Frequency Adaptive KV Caching for Large Language Model Serving (2026) ModeSwitch-LLM: A…
…Training LLM Agents via Agent-Data Mutual Evolution (2026) DPEPO: Diverse Parallel Exploration Policy Optimization for LLM-based Agents (2026) COMAP: Co-Evolving World Models and Agent Policies for LLM Agents (2026…