HFEPX Weekly Archive: 2026-W02

Updated from current HFEPX corpus (Feb 27, 2026). This page tracks 10 papers for HFEPX Weekly Archive: 2026-W02. Dominant protocol signals include automatic metrics, human evaluation, LLM-as-judge, with frequent benchmark focus on Retrieval, DROP and metric focus on relevance, agreement. Use the grounded sections below to prioritize reproducible protocol choices, benchmark-matched comparisons, and judge-vs-human evaluation checks.

Papers Published On This Date

• Symphonym: Universal Phonetic Embeddings for Cross-Script Name Matching

  Stephen Gadd · Jan 11, 2026

  Linking names across historical sources, languages, and writing systems remains a fundamental challenge in digital humanities and geographic information retrieval.

• Mixture-of-Experts as Soft Clustering: A Dual Jacobian-PCA Spectral Geometry Perspective

  Feilong Liu · Jan 9, 2026

  Mixture-of-Experts (MoE) architectures are widely used for efficiency and conditional computation, but their effect on the geometry of learned functions and representations remains poorly understood.

• HEART: A Unified Benchmark for Assessing Humans and LLMs in Emotional Support Dialogue

  Laya Iyer, Kriti Aggarwal, Sanmi Koyejo, Gail Heyman, Desmond C. Ong · Jan 9, 2026

  Pairwise PreferenceRubric Rating

  Despite rapid progress in language models, we still lack a clear way to understand how their abilities in these interpersonal domains compare to those of humans.

• Neurosymbolic Retrievers for Retrieval-augmented Generation

  Yash Saxena, Manas Gaur · Jan 8, 2026

  Retrieval Augmented Generation (RAG) has made significant strides in overcoming key limitations of large language models, such as hallucination, lack of contextual grounding, and issues with transparency.

• What Matters For Safety Alignment?

  Xing Li, Hui-Ling Zhen, Lihao Yin, Xianzhi Yu, Zhenhua Dong · Jan 7, 2026

  Red Team Tool Use

  This paper presents a comprehensive empirical study on the safety alignment capabilities.

• Stratified Hazard Sampling: Minimal-Variance Event Scheduling for CTMC/DTMC Discrete Diffusion and Flow Models

  Seunghwan Jang, SooJean Han · Jan 6, 2026

  Uniform-noise discrete diffusion and flow models (e.g., D3PM, SEDD, UDLM, DFM) generate sequences non-autoregressively by iteratively refining randomly initialized vocabulary tokens through multiple context-dependent replacements.

• SYNAPSE: Empowering LLM Agents with Episodic-Semantic Memory via Spreading Activation

  Hanqi Jiang, Junhao Chen, Yi Pan, Ling Chen, Weihang You · Jan 6, 2026

  While Large Language Models (LLMs) excel at generalized reasoning, standard retrieval-augmented approaches fail to address the disconnected nature of long-term agentic memory.

• Embedding Retrofitting: Data Engineering for better RAG

  Anantha Sharma · Jan 6, 2026

  Embedding retrofitting adjusts pre-trained word vectors using knowledge graph constraints to improve domain-specific retrieval.

• The Invisible Hand of AI Libraries Shaping Open Source Projects and Communities

  Matteo Esposito, Andrea Janes, Valentina Lenarduzzi, Davide Taibi · Jan 5, 2026

  In the early 1980s, Open Source Software emerged as a revolutionary concept amidst the dominance of proprietary software.

• CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving

  Shuhang Chen, Yunqiu Xu, Junjie Xie, Aojun Lu, Tao Feng · Jan 5, 2026

  Motivated by this, we present CogFlow, a novel cognitive-inspired three-stage framework that incorporates a knowledge internalization stage, explicitly simulating the hierarchical flow of human reasoning: perception$\Rightarrow$internalizat

Recent Daily Archives