- A Comparative Analysis of Social Network Topology in Reddit and Moltbook
Yiming Zhu, Gareth Tyson, Pan Hui · Feb 14, 2026 · Citations: 0
Recent advances in agent-mediated systems have enabled a new paradigm of social network simulation, where AI agents interact with human-like autonomy.
- DeepXiv-SDK: An Agentic Data Interface for Scientific Literature
Hongjin Qian, Ziyi Xia, Ze Liu, Jianlyu Chen, Kun Luo · Feb 14, 2026 · Citations: 0
LLM-agents are increasingly used to accelerate the progress of scientific research.
- Evaluating Adjective-Noun Compositionality in LLMs: Functional vs Representational Perspectives
Ruchira Dhar, Qiwei Peng, Anders Søgaard · Feb 14, 2026 · Citations: 0
Consequently, we highlight the importance of contrastive evaluation for obtaining a more complete understanding of model capabilities.
- From Pixels to Policies: Reinforcing Spatial Reasoning in Language Models for Content-Aware Layout Design
Sha Li, Stefano Petrangeli, Yu Shen, Xiang Chen · Feb 14, 2026 · Citations: 0
Critique Edit
We introduce LaySPA, a reinforcement learning framework that equips large language models (LLMs) with explicit and interpretable spatial reasoning for content-aware graphic layout design.
- Pre-Editorial Normalization for Automatically Transcribed Medieval Manuscripts in Old French and Latin
Thibault Clérice, Rachel Bawden, Anthony Glaise, Ariane Pinche, David Smith · Feb 14, 2026 · Citations: 0
We also produce a manually corrected gold-standard evaluation set.
- Evaluating Prompt Engineering Techniques for RAG in Small Language Models: A Multi-Hop QA Approach
Amir Hossein Mohammadi, Ali Moeinian, Zahra Razavizade, Afsaneh Fatemi, Reza Ramezani · Feb 14, 2026 · Citations: 0
Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
- ADAB: Arabic Dataset for Automated Politeness Benchmarking -- A Large-Scale Resource for Computational Sociopragmatics
Hend Al-Khalifa, Nadia Ghezaiel, Maria Bounnit, Hend Hamed Alhazmi, Noof Abdullah Alfear · Feb 14, 2026 · Citations: 0
It contains 10,000 samples with linguistic feature annotations across 16 politeness categories and achieves substantial inter-annotator agreement (kappa = 0.703).
- Bridging the Multilingual Safety Divide: Efficient, Culturally-Aware Alignment for Global South Languages
Somnath Banerjee, Rima Hazra, Animesh Mukherjee · Feb 14, 2026 · Citations: 0
Pairwise Preference
Yet safety pipelines, benchmarks, and alignment still largely target English and a handful of high-resource languages, implicitly assuming safety and factuality ''transfer'' across languages.
- Tutoring Large Language Models to be Domain-adaptive, Precise, and Safe
Somnath Banerjee · Feb 14, 2026 · Citations: 0
Pairwise Preference Long Horizon
The methodological trajectory moves from classical supervised adaptation for task-specific demands to decoding-time alignment for safety, finally leveraging human feedback and preference modeling to achieve sociolinguistic acuity.
- Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis?
Grace Chang Yuan, Xiaoman Zhang, Sung Eun Kim, Pranav Rajpurkar · Feb 14, 2026 · Citations: 0
Multi Agent
Multi-agent large language model (LLM) systems have emerged as a promising approach for clinical diagnosis, leveraging collaboration among agents to refine medical reasoning.
- PrivAct: Internalizing Contextual Privacy Preservation via Multi-Agent Preference Training
Yuhan Cheng, Hancheng Ye, Hai Helen Li, Jingwei Sun, Yiran Chen · Feb 14, 2026 · Citations: 0
Pairwise Preference Multi Agent
We propose PrivAct, a contextual privacy-aware multi-agent learning framework that internalizes contextual privacy preservation directly into models' generation behavior for privacy-compliant agentic actions.
- Speculative Decoding with a Speculative Vocabulary
Miles Williams, Young D. Kwon, Rui Li, Alexandros Kouris, Stylianos I. Venieris · Feb 14, 2026 · Citations: 0
Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
- Beyond Words: Evaluating and Bridging Epistemic Divergence in User-Agent Interaction via Theory of Mind
Minyuan Ruan, Ziyue Wang, Kaiming Liu, Yunghwei Lai, Peng Li · Feb 14, 2026 · Citations: 0
Long Horizon
Large Language Models (LLMs) have developed rapidly and are widely applied to both general-purpose and professional tasks to assist human users.
- The acquisition of English irregular inflections by Yemeni L1 Arabic learners: A Universal Grammar approach
Muneef Y. Alsawsh, Mohammed Q. Shormani · Feb 14, 2026 · Citations: 0
Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
- OMGs: A multi-agent system supporting MDT decision-making across the ovarian tumour care continuum
Yangyang Zhang, Zilong Wang, Jianbo Xu, Yongqi Chen, Chu Han · Feb 14, 2026 · Citations: 0
Expert Verification Multi Agent
Here we present OMGs (Ovarian tumour Multidisciplinary intelligent aGent System), a multi-agent AI framework where domain-specific agents deliberate collaboratively to integrate multidisciplinary evidence and generate MDT-style…
- StackingNet: Collective Inference Across Independent AI Foundation Models
Siyang Li, Chenhao Liu, Dongrui Wu, Zhigang Zeng, Lieyun Ding · Feb 14, 2026 · Citations: 0
Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
- How Do Lexical Senses Correspond Between Spoken German and German Sign Language?
Melis Çelikkol, Wei Zhao · Feb 14, 2026 · Citations: 0
Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
- OR-Agent: Bridging Evolutionary Search and Structured Research for Automated Algorithm Discovery
Qi Liu, Ruochen Hao, Can Li, Wanjing Ma · Feb 14, 2026 · Citations: 0
Multi Agent
We present OR-Agent, a configurable multi-agent research framework designed for automated exploration in rich experimental environments.
- On Theoretically-Driven LLM Agents for Multi-Dimensional Discourse Analysis
Maciej Uberna, Michał Wawer, Jarosław A. Chudziak, Marcin Koszowy · Feb 14, 2026 · Citations: 0
- Offline-First Large Language Model Architecture for AI-Assisted Learning with Adaptive Response Levels in Low-Connectivity Environments
Joseph Walusimbi, Ann Move Oguti, Joshua Benjamin Ssentongo, Keith Ainebyona · Feb 14, 2026 · Citations: 0
Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
- Elo-Evolve: A Co-evolutionary Framework for Language Model Alignment
Jing Zhao, Ting Zhen, Junwei Bao, Hongfei Jiang, Yang Song · Feb 14, 2026 · Citations: 0
Pairwise Preference Multi Agent
Current alignment methods for Large Language Models (LLMs) rely on compressing vast amounts of human preference data into static, absolute reward functions, leading to data scarcity, noise sensitivity, and training instability.
- Small Reward Models via Backward Inference
Yike Wang, Faeze Brahman, Shangbin Feng, Teng Xiao, Hannaneh Hajishirzi · Feb 14, 2026 · Citations: 0
Rubric Rating
However, the dominant LLM-as-a-Judge paradigm relies on the strong reasoning capabilities of large models, while alternative approaches require reference responses or explicit rubrics, limiting flexibility and broader accessibility.