HFEPX Archive Slice

HFEPX Monthly Archive: 2026-04

Updated from current HFEPX corpus (Apr 17, 2026). 1020 papers are grouped in this daily page.

Read Full Context

Updated from current HFEPX corpus (Apr 17, 2026). 1020 papers are grouped in this daily page. Common evaluation modes: Automatic Metrics, Simulation Env. Most common rater population: Domain Experts. Common annotation unit: Trajectory. Frequent quality control: Calibration. Frequently cited benchmark: DROP. Common metric signal: accuracy. Use this page to compare protocol setup, judge behavior, and labeling design decisions before running new eval experiments. Newest paper in this set is from Apr 16, 2026.

Papers: 1,020 Last published: Apr 16, 2026 Global RSS

Researcher Quick Triage

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

Analysis blocks are computed from the loaded sample (60 of 1,020 papers).

High-Signal Coverage

100.0%

60 / 60 papers are not low-signal flagged.

Benchmark Anchors

0.0%

Papers with benchmark/dataset mentions in extraction output.

Metric Anchors

1.7%

Papers with reported metric mentions in extraction output.

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.

Get this digest every Friday →

Why This Time Slice Matters

5.5% of papers report explicit human-feedback signals, led by pairwise preferences.
automatic metrics appears in 18.2% of papers in this hub.
DROP is a recurring benchmark anchor for cross-paper comparisons in this page.

Protocol Takeaways For This Period

Most common quality-control signal is rater calibration (1.6% of papers).
Rater context is mostly domain experts, and annotation is commonly trajectory-level annotation; use this to scope replication staffing.
Compare papers that report both human_eval and llm_as_judge to quantify judge-human agreement drift.

Start Here (Highest-Signal Papers In This Slice)

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

MM-WebAgent: A Hierarchical Multimodal Web Agent for Webpage Generation
Apr 16, 2026 · Citations: 0 · Score: 5.0

Eval: Automatic Metrics · Metrics: Coherence
Generalization in LLM Problem Solving: The Case of the Shortest Path
Apr 16, 2026 · Citations: 0 · Score: 0.0

Eval: Not reported · Metrics: Not reported
Diagnosing LLM Judge Reliability: Conformal Prediction Sets and Transitivity Violations
Apr 16, 2026 · Citations: 0 · Score: 0.0

Eval: Not reported · Metrics: Not reported
Benchmarking Optimizers for MLPs in Tabular Deep Learning
Apr 16, 2026 · Citations: 0 · Score: 0.0

Eval: Not reported · Metrics: Not reported
How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability Study
Apr 16, 2026 · Citations: 0 · Score: 0.0

Eval: Not reported · Metrics: Not reported
AD4AD: Benchmarking Visual Anomaly Detection Models for Safer Autonomous Driving
Apr 16, 2026 · Citations: 0 · Score: 0.0

Eval: Not reported · Metrics: Not reported

Protocol Matrix (Top 10)

Quickly compare method ingredients across this archive slice.

Paper	Eval Modes	Benchmarks	Metrics	Quality Controls
MM-WebAgent: A Hierarchical Multimodal Web Agent for Webpage Generation Apr 16, 2026	Automatic Metrics	Not reported	Coherence	Not reported
Generalization in LLM Problem Solving: The Case of the Shortest Path Apr 16, 2026	Not reported	Not reported	Not reported	Not reported
Diagnosing LLM Judge Reliability: Conformal Prediction Sets and Transitivity Violations Apr 16, 2026	Not reported	Not reported	Not reported	Not reported
Benchmarking Optimizers for MLPs in Tabular Deep Learning Apr 16, 2026	Not reported	Not reported	Not reported	Not reported
How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability Study Apr 16, 2026	Not reported	Not reported	Not reported	Not reported
AD4AD: Benchmarking Visual Anomaly Detection Models for Safer Autonomous Driving Apr 16, 2026	Not reported	Not reported	Not reported	Not reported
Structural interpretability in SVMs with truncated orthogonal polynomial kernels Apr 16, 2026	Not reported	Not reported	Not reported	Not reported
Why Do Vision Language Models Struggle To Recognize Human Emotions? Apr 16, 2026	Not reported	Not reported	Not reported	Not reported
How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations Apr 16, 2026	Not reported	Not reported	Not reported	Not reported
Prism: Symbolic Superoptimization of Tensor Programs Apr 16, 2026	Not reported	Not reported	Not reported	Not reported

Researcher Workflow (Detailed)

Checklist

Gap: Papers with explicit human feedback

Coverage is a replication risk (5.5% vs 45% target).
Gap: Papers reporting quality controls

Coverage is a replication risk (2.4% vs 30% target).
Gap: Papers naming benchmarks/datasets

Coverage is a replication risk (10.4% vs 35% target).
Moderate: Papers naming evaluation metrics

Coverage is usable but incomplete (30.5% vs 35% target).
Gap: Papers with known rater population

Coverage is a replication risk (5.2% vs 35% target).
Gap: Papers with known annotation unit

Coverage is a replication risk (6.8% vs 35% target).

Strengths

Contains both human-eval and LLM-as-judge protocols for head-to-head methodology comparison.

Known Gaps

Only 2.4% of papers report quality controls; prioritize calibration/adjudication evidence.
Rater population is under-specified (5.2% coverage).
Annotation unit is under-specified (6.8% coverage).

Suggested Next Analyses

Compare papers that report both human_eval and llm_as_judge to quantify judge-human agreement drift.
Stratify by benchmark (DROP vs MMLU) before comparing methods.
Track metric sensitivity by reporting both accuracy and cost.

Recommended Queries

Judge vs Human Agreement Benchmark Slice: DROP Metric Slice: accuracy IAA-Reported Evaluations Recent High-Signal Papers

Known Limitations

Only 2.4% of papers report quality controls; prioritize calibration/adjudication evidence.
Rater population is under-specified (5.2% coverage).
Narrative synthesis is grounded in metadata and abstracts only; full-paper implementation details are not parsed.

Research Utility Snapshot (Detailed)

Evaluation Modes

Automatic Metrics (186)
Simulation Env (18)
Llm As Judge (12)
Human Eval (9)

Top Metrics

Accuracy (143)
Cost (67)
F1 (25)
Latency (24)

Top Benchmarks

DROP (9)
MMLU (7)
GSM8K (6)
HumanEval+ (4)

Quality Controls

Calibration (16)
Inter Annotator Agreement Reported (6)
Adjudication (4)
Gold Questions (3)

Papers In This Archive Slice

MM-WebAgent: A Hierarchical Multimodal Web Agent for Webpage Generation
Yan Li, Zezi Zeng, Yifan Yang, Yuqing Yang, Ning Liao · Apr 16, 2026 · Citations: 0

We propose MM-WebAgent, a hierarchical agentic framework for multimodal webpage generation that coordinates AIGC-based element generation through hierarchical planning and iterative self-reflection.
Generalization in LLM Problem Solving: The Case of the Shortest Path
Yao Tong, Jiayuan Ye, Anastasia Borovykh, Reza Shokri · Apr 16, 2026 · Citations: 0
Diagnosing LLM Judge Reliability: Conformal Prediction Sets and Transitivity Violations
Manan Gupta, Dhruv Kumar · Apr 16, 2026 · Citations: 0
Benchmarking Optimizers for MLPs in Tabular Deep Learning
Yury Gorishniy, Ivan Rubachev, Dmitrii Feoktistov, Artem Babenko · Apr 16, 2026 · Citations: 0
How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability Study
Zhen Yang, Ping Jian, Zhongbin Guo, Zuming Zhang, Chengzhi Li · Apr 16, 2026 · Citations: 0
AD4AD: Benchmarking Visual Anomaly Detection Models for Safer Autonomous Driving
Fabrizio Genilotti, Arianna Stropeni, Gionata Grotto, Francesco Borsatti, Manuel Barusco · Apr 16, 2026 · Citations: 0
Structural interpretability in SVMs with truncated orthogonal polynomial kernels
Víctor Soto-Larrosa, Nuria Torrado, Edmundo J. Huertas · Apr 16, 2026 · Citations: 0
Why Do Vision Language Models Struggle To Recognize Human Emotions?
Madhav Agarwal, Sotirios A. Tsaftaris, Laura Sevilla-Lara, Steven McDonagh · Apr 16, 2026 · Citations: 0
How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations
Nouhaila Innan, Antonello Rosato, Alberto Marchisio, Muhammad Shafique · Apr 16, 2026 · Citations: 0
Prism: Symbolic Superoptimization of Tensor Programs
Mengdi Wu, Xiaoyu Jiang, Oded Padon, Zhihao Jia · Apr 16, 2026 · Citations: 0
SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation
Tianhao Fu, Austin Wang, Charles Chen, Roby Aldave-Garza, Yucheng Chen · Apr 16, 2026 · Citations: 0
Cloning is as Hard as Learning for Stabilizer States
Nikhil Bansal, Matthias C. Caro, Gaurav Mahajan · Apr 16, 2026 · Citations: 0
CoopEval: Benchmarking Cooperation-Sustaining Mechanisms and LLM Agents in Social Dilemmas
Emanuel Tewolde, Xiao Zhang, David Guzman Piedrahita, Vincent Conitzer, Zhijing Jin · Apr 16, 2026 · Citations: 0
Stability and Generalization in Looped Transformers
Asher Labovich · Apr 16, 2026 · Citations: 0
From Tokens to Steps: Verification-Aware Speculative Decoding for Efficient Multi-Step Reasoning
Kiran Purohit, Ramasuri Narayanam, Soumyabrata Pal · Apr 16, 2026 · Citations: 0
Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier
Come Fiegel, Pierre Menard, Tadashi Kozuno, Michal Valko, Vianney Perchet · Apr 16, 2026 · Citations: 0
A Nonlinear Separation Principle: Applications to Neural Networks, Control and Learning
Anand Gokhale, Anton V. Proskurnikov, Yu Kawano, Francesco Bullo · Apr 16, 2026 · Citations: 0
Agentic Microphysics: A Manifesto for Generative AI Safety
Federico Pierucci, Matteo Prandi, Marcantonio Bracale Syrnikov, Marcello Galisai, Piercosma Bisconti · Apr 16, 2026 · Citations: 0
Blue Data Intelligence Layer: Streaming Data and Agents for Multi-source Multi-modal Data-Centric Applications
Moin Aminnaseri, Farima Fatahi Bayat, Nikita Bhutani, Jean-Flavien Bussotti, Kevin Chan · Apr 16, 2026 · Citations: 0
RadAgent: A tool-using AI agent for stepwise interpretation of chest computed tomography
Mélanie Roschewitz, Kenneth Styppa, Yitian Tao, Jiwoong Sohn, Jean-Benoit Delbrouck · Apr 16, 2026 · Citations: 0
Context Over Content: Exposing Evaluation Faking in Automated Judges
Manan Gupta, Inderjeet Nair, Lu Wang, Dhruv Kumar · Apr 16, 2026 · Citations: 0
AI-Assisted Requirements Engineering: An Empirical Evaluation Relative to Expert Judgment
Oz Levy, Ilya Dikman, Natan Levy, Michael Winokur · Apr 16, 2026 · Citations: 0
Low-Cost System for Automatic Recognition of Driving Pattern in Assessing Interurban Mobility using Geo-Information
Oscar Romero, Aika Silveira Miura, Lorena Parra, Jaime Lloret · Apr 16, 2026 · Citations: 0
Learning to Think Like a Cartoon Captionist: Incongruity-Resolution Supervision for Multimodal Humor Understanding
Hatice Merve Vural, Doga Kukul, Ege Erdem Ozlu, Demir Ekin Arikan, Bob Mankoff · Apr 16, 2026 · Citations: 0
MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events
Raunak Agarwal, Markus Wenzel, Simon Baur, Jonas Zimmer, George Harvey · Apr 16, 2026 · Citations: 0
Benchmarking Classical Coverage Path Planning Heuristics on Irregular Hexagonal Grids for Maritime Coverage Scenarios
Carlos S. Sepúlveda, Gonzalo A. Ruz · Apr 16, 2026 · Citations: 0
Meituan Merchant Business Diagnosis via Policy-Guided Dual-Process User Simulation
Ziyang Chen, Renbing Chen, Daowei Li, Jinzhi Liao, Jiashen Sun · Apr 16, 2026 · Citations: 0
VisPCO: Visual Token Pruning Configuration Optimization via Budget-Aware Pareto-Frontier Learning for Vision-Language Models
Huawei Ji, Yuanhao Sun, Yuan Jin, Cheng Deng, Jiaxin Ding · Apr 16, 2026 · Citations: 0
Scepsy: Serving Agentic Workflows Using Aggregate LLM Pipelines
Marcel Wagenländer, Otto White, Britannio Jarrett, Pedro Silvestre, Yanda Tao · Apr 16, 2026 · Citations: 0
Agent-Aided Design for Dynamic CAD Models
Mitch Adler, Matthew Russo, Michael Cafarella · Apr 16, 2026 · Citations: 0
AdaSplash-2: Faster Differentiable Sparse Attention
Nuno Gonçalves, Hugo Pitorro, Vlad Niculae, Edoardo Ponti, Lei Li · Apr 16, 2026 · Citations: 0
MambaSL: Exploring Single-Layer Mamba for Time Series Classification
Yoo-Min Jung, Leekyung Kim · Apr 16, 2026 · Citations: 0
Class Unlearning via Depth-Aware Removal of Forget-Specific Directions
Arman Hatami, Romina Aalishah, Ilya E. Monosov · Apr 16, 2026 · Citations: 0
Fabricator or dynamic translator?
Lisa Vasileva, Karin Sim · Apr 16, 2026 · Citations: 0
Compressing Sequences in the Latent Embedding Space: $K$-Token Merging for Large Language Models
Zihao Xu, John Harvill, Ziwei Fan, Yizhou Sun, Hao Ding · Apr 16, 2026 · Citations: 0
QuantCode-Bench: A Benchmark for Evaluating the Ability of Large Language Models to Generate Executable Algorithmic Trading Strategies
Alexey Khoroshilov, Alexey Chernysh, Orkhan Ekhtibarov, Nini Kamkia, Dmitry Zmitrovich · Apr 16, 2026 · Citations: 0
LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking
Lukas Helff, Quentin Delfosse, David Steinmann, Ruben Härle, Hikaru Shindo · Apr 16, 2026 · Citations: 0
IG-Search: Step-Level Information Gain Rewards for Search-Augmented Reasoning
Zihan Liang, Yufei Ma, Ben Chen, Zhipeng Qian, Huangyu Dai · Apr 16, 2026 · Citations: 0
An Axiomatic Benchmark for Evaluation of Scientific Novelty Metrics
Miri Liu, ChengXiang Zhai · Apr 16, 2026 · Citations: 0
Structure as Computation: Developmental Generation of Minimal Neural Circuits
Duan Zhou · Apr 16, 2026 · Citations: 0
DiscoTrace: Representing and Comparing Answering Strategies of Humans and LLMs in Information-Seeking Question Answering
Neha Srikanth, Jordan Boyd-Graber, Rachel Rudinger · Apr 16, 2026 · Citations: 0
Blinded Multi-Rater Comparative Evaluation of a Large Language Model and Clinician-Authored Responses in CGM-Informed Diabetes Counseling
Zhijun Guo, Alvina Lai, Emmanouil Korakas, Aristeidis Vagenas, Irshad Ahamed · Apr 16, 2026 · Citations: 0
SRMU: Relevance-Gated Updates for Streaming Hyperdimensional Memories
Shay Snyder, Andrew Capodieci, David Gorsich, Maryam Parsa · Apr 16, 2026 · Citations: 0
Amortized Optimal Transport from Sliced Potentials
Minh-Phuc Truong, Khai Nguyen · Apr 16, 2026 · Citations: 0
HyperSpace: A Generalized Framework for Spatial Encoding in Hyperdimensional Representations
Shay Snyder, Andrew Capodieci, David Gorsich, Maryam Parsa · Apr 16, 2026 · Citations: 0
IUQ: Interrogative Uncertainty Quantification for Long-Form Large Language Model Generation
Haozhi Fan, Jinhao Duan, Kaidi Xu · Apr 16, 2026 · Citations: 0
From Procedural Skills to Strategy Genes: Towards Experience-Driven Test-Time Evolution
Junjie Wang, Yiming Ren, Haoyang Zhang · Apr 16, 2026 · Citations: 0
OpenMobile: Building Open Mobile Agents with Task and Trajectory Synthesis
Kanzhi Cheng, Zehao Li, Zheng Ma, Nuo Chen, Jialin Cao · Apr 16, 2026 · Citations: 0
Autonomous Evolution of EDA Tools: Multi-Agent Self-Evolved ABC
Cunxi Yu, Haoxing Ren · Apr 16, 2026 · Citations: 0
Where are the Humans? A Scoping Review of Fairness in Multi-agent AI Systems
Simeon Allmendinger, Luca Deck, Lucas Mueller · Apr 16, 2026 · Citations: 0
NEAT-NC: NEAT guided Navigation Cells for Robot Path Planning
Hibatallah Meliani, Khadija Slimani, Samira Khoulji · Apr 16, 2026 · Citations: 0
No More Guessing: a Verifiable Gradient Inversion Attack in Federated Learning
Francesco Diana, Chuan Xu, André Nusser, Giovanni Neglia · Apr 16, 2026 · Citations: 0
CoGrid & the Multi-User Gymnasium: A Framework for Multi-Agent Experimentation
Chase McDonald, Cleotilde Gonzalez · Apr 16, 2026 · Citations: 0
When Fairness Metrics Disagree: Evaluating the Reliability of Demographic Fairness Assessment in Machine Learning
Khalid Adnan Alsayed · Apr 16, 2026 · Citations: 0
From Reactive to Proactive: Assessing the Proactivity of Voice Agents via ProVoice-Bench
Ke Xu, Yuhao Wang, Yu Wang · Apr 16, 2026 · Citations: 0
Autogenesis: A Self-Evolving Agent Protocol
Wentao Zhang · Apr 16, 2026 · Citations: 0
Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization
Haochun Tang, Yuliang Yan, Jiahua Lu, Huaxiao Liu, Enyan Dai · Apr 16, 2026 · Citations: 0
What Is the Minimum Architecture for Prolepsis? Early Irrevocable Commitment Across Tasks in Small Transformers
Éric Jacopin · Apr 16, 2026 · Citations: 0
Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching
Aihua Li · Apr 16, 2026 · Citations: 0
COEVO: Co-Evolutionary Framework for Joint Functional Correctness and PPA Optimization in LLM-Based RTL Generation
Heng Ping, Peiyu Zhang, Shixuan Li, Wei Yang, Anzhe Cheng · Apr 16, 2026 · Citations: 0

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