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HFEPX Archive Slice

HFEPX Daily Archive: 2025-05-21

Updated from current HFEPX corpus (Apr 12, 2026). 13 papers are grouped in this daily page.

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Updated from current HFEPX corpus (Apr 12, 2026). 13 papers are grouped in this daily page. Common evaluation modes: Automatic Metrics. Common annotation unit: Ranking. Frequent quality control: Calibration. Frequently cited benchmark: MolLangBench. 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 May 21, 2025.

Papers: 13 Last published: May 21, 2025 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: Medium .

High-Signal Coverage

100.0%

13 / 13 papers are not low-signal flagged.

Benchmark Anchors

23.1%

Papers with benchmark/dataset mentions in extraction output.

Metric Anchors

38.5%

Papers with reported metric mentions in extraction output.

  • 1 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.

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Why This Time Slice Matters

  • 15.4% of papers report explicit human-feedback signals, led by critique/edit feedback.
  • automatic metrics appears in 38.5% of papers in this hub.
  • MolLangBench 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 (7.7% of papers).
  • Rater context is mostly unspecified rater pools, and annotation is commonly ranking annotation; use this to scope replication staffing.
  • Stratify by benchmark (MolLangBench vs Verifybench) before comparing methods.

Start Here (Highest-Signal Papers In This Slice)

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

Protocol Matrix (Top 10)

Quickly compare method ingredients across this archive slice.

Paper Eval Modes Benchmarks Metrics Quality Controls
VerifyBench: Benchmarking Reference-based Reward Systems for Large Language Models

May 21, 2025

Automatic Metrics Verifybench Accuracy Not reported
ALIEN: Aligned Entropy Head for Improving Uncertainty Estimation of LLMs

May 21, 2025

Automatic Metrics Not reported Calibration error Calibration
MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision

May 21, 2025

Automatic Metrics Not reported Accuracy, Cost Not reported
Explainable embeddings with Distance Explainer

May 21, 2025

Automatic Metrics Not reported Faithfulness Not reported
Entailed Opinion Matters: Improving the Fact-Checking Performance of Language Models by Relying on their Entailment Ability

May 21, 2025

Automatic Metrics Not reported Accuracy Not reported
Efficient PRM Training Data Synthesis via Formal Verification

May 21, 2025

Not reported BBH Not reported Not reported
Reward Is Enough: LLMs Are In-Context Reinforcement Learners

May 21, 2025

Not reported AIME Not reported Not reported
Understanding the Anchoring Effect of LLM with Synthetic Data: Existence, Mechanism, and Potential Mitigations

May 21, 2025

Not reported Not reported Not reported Not reported
A quantitative analysis of semantic information in deep representations of text and images

May 21, 2025

Not reported Not reported Not reported Not reported
SAKE: Structured Agentic Knowledge Extrapolation for Complex LLM Reasoning via Reinforcement Learning

May 21, 2025

Not reported Not reported Not reported Not reported
Researcher Workflow (Detailed)

Checklist

  • Gap: Papers with explicit human feedback

    Coverage is a replication risk (15.4% vs 45% target).

  • Gap: Papers reporting quality controls

    Coverage is a replication risk (7.7% vs 30% target).

  • Gap: Papers naming benchmarks/datasets

    Coverage is a replication risk (15.4% vs 35% target).

  • Moderate: Papers naming evaluation metrics

    Coverage is usable but incomplete (30.8% vs 35% target).

  • Gap: Papers with known rater population

    Coverage is a replication risk (0% vs 35% target).

  • Moderate: Papers with known annotation unit

    Coverage is usable but incomplete (23.1% vs 35% target).

Strengths

  • This hub still surfaces a concentrated paper set for protocol triage and replication planning.

Known Gaps

  • Only 7.7% of papers report quality controls; prioritize calibration/adjudication evidence.
  • Rater population is under-specified (0% coverage).
  • Annotation unit is under-specified (23.1% coverage).

Suggested Next Analyses

  • Stratify by benchmark (MolLangBench vs Verifybench) before comparing methods.
  • Track metric sensitivity by reporting both accuracy and cost.
  • Add inter-annotator agreement checks when reproducing these protocols.

Recommended Queries

Known Limitations
  • Only 7.7% of papers report quality controls; prioritize calibration/adjudication evidence.
  • Rater population is under-specified (0% 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 (5)

Top Metrics

  • Accuracy (4)
  • Cost (1)

Top Benchmarks

  • MolLangBench (1)
  • Verifybench (1)

Quality Controls

  • Calibration (1)

Papers In This Archive Slice

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