AI Research Paper Archive & Publications
Browse through 256 peer-reviewed AI publications, arxiv preprints, technical abstracts, and key takeaway summaries covering LLM architectures, vision models, alignment, and multi-agent systems.
AI Research Paper Feed
Curated index of breakthrough publications in artificial intelligence. Access synthesized TL;DRs, key technical abstracts, and direct citations.
By Ishan Patel, Sahil Sen, Elias Lumer et al.
Programmatic tool calling (tools as Python stubs) matches or beats JSON tool calling across 14 LLMs on BFCL v4, with >10% gains for GPT-5.6 and robust parallel/context-rot performance.
By Xian Sun, Wei Chow, Yingshuo Wang et al.
Introduces SC2W metric for context-induced answer flips and SCOPE, a DPO variant that optimizes balanced preference pairs across clean/misleading/correct/irrelevant contexts, reducing susceptibility without sacrificing accuracy.
By George Grispos, Sajda Qureshi
Static forensic analysis of Nigerian shopping apps reveals AI features are widespread but disclosure is minimal, enabling an empirical transparency index to assess individual digital sovereignty.
By Markus Engelund Mathiasen, Jian Qian, Nikita Zhivotovskiy
Constructs the first agnostic PAC learner that exactly matches Devroye et al.'s lower bounds for every fixed L*, using a data-dependent hypothesis selection scheme to adapt to noise levels.
By Soorya Ram Shimgekar, Michelle Hu, Dorisa Shehi et al.
A multi-agent LLM pipeline automates heart-failure feature engineering from EHR tables, generating auditable, rubric-scored aggregates that lift phenotyping AUROC to 0.96 with provenance tracking.
By Yinghui He, Ling Yang, Jiarui Liu et al.
Introduces Skill Entropy to quantify cross-skill switching difficulty, proposes Skill^2-Bench with 558 skills, and Skill-Entropy RL using skill-sequence alignment rewards—boosting Qwen3-4B from 34.4% to 68.4%.