HFEPX Weekly Archive: 2025-W11

Researcher Quick Triage

Use this archive page for time-slice monitoring (what changed in evaluation methods, metrics, and protocol quality this period). Quality band: Medium .

• 0 papers report explicit quality controls for this archive period.
• Prioritize papers with both benchmark and metric anchors for reliable longitudinal comparisons.

Primary action: Use this slice as early signal only; benchmark/metric anchoring is limited for rigorous period-over-period claims.

Why This Time Slice Matters

• automatic metrics appears in 25% of papers in this hub.
• GSM8K is a recurring benchmark anchor for cross-paper comparisons in this page.
• long-horizon tasks appears in 16.7% of papers, indicating agentic evaluation demand.

Protocol Takeaways For This Period

• Quality-control reporting is sparse in this slice; prioritize papers with explicit calibration or adjudication steps.
• Rater context is mostly domain experts, and annotation is commonly trajectory-level annotation; use this to scope replication staffing.
• Stratify by benchmark (GSM8K vs MATH-500) before comparing methods.

Start Here (Highest-Signal Papers In This Slice)

Ranked by protocol completeness and evidence density for faster period-over-period review.

• Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models

  Mar 16, 2025 · Citations: 0 · Score: 4.4

  Eval: Automatic Metrics · Metrics: Cost, Coherence

• Integrating Chain-of-Thought and Retrieval Augmented Generation Enhances Rare Disease Diagnosis from Clinical Notes

  Mar 15, 2025 · Citations: 0 · Score: 2.9

  Eval: Automatic Metrics · Metrics: Accuracy

• Interpretable Deep Learning Framework for Improved Disease Classification in Medical Imaging

  Mar 14, 2025 · Citations: 0 · Score: 2.9

  Eval: Automatic Metrics · Metrics: Accuracy, Coherence

• Reasoning-Grounded Natural Language Explanations for Language Models

  Mar 14, 2025 · Citations: 0 · Score: 1.9

  Eval: Not reported · Metrics: Faithfulness

• A Survey on the Optimization of Large Language Model-based Agents

  Mar 16, 2025 · Citations: 0 · Score: 1.4

  Eval: Simulation Env · Metrics: Not reported

• Implicit Bias-Like Patterns in Reasoning Models

  Mar 14, 2025 · Citations: 0 · Score: 0.4

  Eval: Not reported · Metrics: Not reported

Protocol Matrix (Top 10)

Quickly compare method ingredients across this archive slice.

Papers In This Archive Slice

• Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models

  Teng Wang, Zhangyi Jiang, Zhenqi He, Shenyang Tong, Wenhan Yang · Mar 16, 2025 · Citations: 0

  Long Horizon

  Empirical results on the PRM800K dataset show that HRM, together with HNC, provides more stable and reliable evaluations than PRM.

• HyConEx: Hypernetwork classifier with counterfactual explanations for tabular data

  Patryk Marszałek, Kamil Książek, Oleksii Furman, Ulvi Movsum-zada, Przemysław Spurek · Mar 16, 2025 · Citations: 0
• A Survey on the Optimization of Large Language Model-based Agents

  Shangheng Du, Jiabao Zhao, Jinxin Shi, Zhentao Xie, Xin Jiang · Mar 16, 2025 · Citations: 0

  Long Horizon

  With the rapid development of Large Language Models (LLMs), LLM-based agents have been widely adopted in various fields, becoming essential for autonomous decision-making and interactive tasks.

• Beyond Final Code: A Process-Oriented Error Analysis of Software Development Agents in Real-World GitHub Scenarios

  Zhi Chen, Wei Ma, Lingxiao Jiang · Mar 16, 2025 · Citations: 0
• Integrating Chain-of-Thought and Retrieval Augmented Generation Enhances Rare Disease Diagnosis from Clinical Notes

  Zhanliang Wang, Da Wu, Quan Nguyen, Kai Wang · Mar 15, 2025 · Citations: 0

  These studies typically use Human Phenotype Ontology (HPO) terms to prompt foundation models like GPT and LLaMA to predict candidate genes.

• Interpretable Deep Learning Framework for Improved Disease Classification in Medical Imaging

  Jutika Borah, Hidam Kumarjit Singh · Mar 14, 2025 · Citations: 0

  The framework is evaluated on four medical imaging benchmark datasets: chest X-rays of COVID-19, Tuberculosis, Pneumonia, and retinal Optical Coherence Tomography (OCT) images.

• Implicit Bias-Like Patterns in Reasoning Models

  Messi H. J. Lee, Calvin K. Lai · Mar 14, 2025 · Citations: 0

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control

  Yifeng Zhang, Yilin Liu, Ping Gong, Peizhuo Li, Mingfeng Fan · Mar 14, 2025 · Citations: 0
• Reasoning-Grounded Natural Language Explanations for Language Models

  Vojtech Cahlik, Rodrigo Alves, Pavel Kordik · Mar 14, 2025 · Citations: 0

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?

  Yuhang Liu, Dong Gong, Yichao Cai, Erdun Gao, Zhen Zhang · Mar 12, 2025 · Citations: 0
• PlainQAFact: Retrieval-augmented Factual Consistency Evaluation Metric for Biomedical Plain Language Summarization

  Zhiwen You, Yue Guo · Mar 11, 2025 · Citations: 0

  Existing automatic factual consistency evaluation methods, such as entailment- and question-answering (QA) -based, struggle with plain language summarization (PLS) due to elaborative explanation phenomenon, which introduces external content…

• Large Language Models for Outpatient Referral: Problem Definition, Benchmarking and Challenges

  Xiaoxiao Liu, Qingying Xiao, Bingquan Zhang, Junying Chen, Xiangyi Feng · Mar 11, 2025 · Citations: 0

  However, there is a lack of standardized evaluation criteria to assess their effectiveness, particularly in dynamic, interactive scenarios.

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