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HFEPX Archive Slice

HFEPX Weekly Archive: 2026-W04

Updated from current HFEPX corpus (Apr 12, 2026). 40 papers are grouped in this daily page.

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Updated from current HFEPX corpus (Apr 12, 2026). 40 papers are grouped in this daily page. Common evaluation modes: Automatic Metrics, Human Eval. Most common rater population: Domain Experts. Common annotation unit: Trajectory. Frequent quality control: Calibration. Frequently cited benchmark: GSM8K. 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 Jan 25, 2026.

Papers: 40 Last published: Jan 25, 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 .

High-Signal Coverage

100.0%

40 / 40 papers are not low-signal flagged.

Benchmark Anchors

20.0%

Papers with benchmark/dataset mentions in extraction output.

Metric Anchors

30.0%

Papers with reported metric mentions in extraction output.

  • 3 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 for trend comparison: review top papers first, then validate shifts in the protocol matrix.

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Why This Time Slice Matters

  • 12.5% of papers report explicit human-feedback signals, led by pairwise preferences.
  • automatic metrics appears in 25% of papers in this hub.
  • GSM8K 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 (5% of papers).
  • Rater context is mostly domain experts, and annotation is commonly trajectory-level annotation; use this to scope replication staffing.
  • Pair this hub with llm_as_judge pages to benchmark automated-vs-human evaluation tradeoffs.

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
The Flexibility Trap: Why Arbitrary Order Limits Reasoning Potential in Diffusion Language Models

Jan 21, 2026

Automatic Metrics GSM8K Accuracy Not reported
Human Values in a Single Sentence: Moral Presence, Hierarchies, and Transformer Ensembles on the Schwartz Continuum

Jan 20, 2026

Automatic Metrics Valueeval F1, F1 macro Not reported
Chain-of-Thought Compression Should Not Be Blind: V-Skip for Efficient Multimodal Reasoning via Dual-Path Anchoring

Jan 20, 2026

Automatic Metrics DocVQA Accuracy, Latency Not reported
ChartAttack: Testing the Vulnerability of LLMs to Malicious Prompting in Chart Generation

Jan 19, 2026

Automatic Metrics DROP Accuracy Not reported
Decoupling Strategy and Execution in Task-Focused Dialogue via Goal-Oriented Preference Optimization

Jan 24, 2026

Automatic Metrics Not reported Task success Not reported
IntelliAsk: Learning to Ask High-Quality Research Questions via RLVR

Jan 23, 2026

Human Eval Writingbench Not reported Not reported
Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis

Jan 23, 2026

Automatic Metrics Not reported Agreement, Cost Adjudication, Inter Annotator Agreement Reported
RebuttalAgent: Strategic Persuasion in Academic Rebuttal via Theory of Mind

Jan 22, 2026

Human Eval Rebuttalbench Not reported Not reported
APEX-Agents

Jan 20, 2026

Automatic Metrics Not reported Pass@1 Not reported
Forest-Chat: Adapting Vision-Language Agents for Interactive Forest Change Analysis

Jan 21, 2026

Automatic Metrics Not reported Bleu Not reported
Researcher Workflow (Detailed)

Checklist

  • Gap: Papers with explicit human feedback

    Coverage is a replication risk (12.5% vs 45% target).

  • Gap: Papers reporting quality controls

    Coverage is a replication risk (7.5% vs 30% target).

  • Gap: Papers naming benchmarks/datasets

    Coverage is a replication risk (12.5% vs 35% target).

  • Gap: Papers naming evaluation metrics

    Coverage is a replication risk (17.5% vs 35% target).

  • Gap: Papers with known rater population

    Coverage is a replication risk (12.5% vs 35% target).

  • Gap: Papers with known annotation unit

    Coverage is a replication risk (10% vs 35% target).

Strengths

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

Known Gaps

  • Only 7.5% of papers report quality controls; prioritize calibration/adjudication evidence.
  • Rater population is under-specified (12.5% coverage).
  • Annotation unit is under-specified (10% coverage).

Suggested Next Analyses

  • Pair this hub with llm_as_judge pages to benchmark automated-vs-human evaluation tradeoffs.
  • Stratify by benchmark (GSM8K vs Lawbench) before comparing methods.
  • Track metric sensitivity by reporting both accuracy and coherence.

Recommended Queries

Known Limitations
  • Only 7.5% of papers report quality controls; prioritize calibration/adjudication evidence.
  • Rater population is under-specified (12.5% 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 (10)
  • Human Eval (3)
  • Simulation Env (1)

Top Metrics

  • Accuracy (4)
  • Coherence (1)
  • Jailbreak success rate (1)
  • Pass@1 (1)

Top Benchmarks

  • GSM8K (1)
  • Lawbench (1)
  • Rebuttalbench (1)
  • SummEval (1)

Quality Controls

  • Calibration (2)
  • Adjudication (1)
  • Inter Annotator Agreement Reported (1)

Papers In This Archive Slice

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