HFEPX Daily Papers for 2026-05-27

Researcher Quick Triage

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

• 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

• Use this archive slice to monitor protocol drift and shifts in evaluation methods over 2026-05-27.

Protocol Takeaways For This Period

• Evaluation modes for this slice cluster around automatic_metrics.

Start Here (Highest-Signal Papers In This Slice)

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

• Ask Now, Use Later: Benchmarking the Proactivity Gap in Long-Lived LLM Agents

  May 27, 2026 · Citations: 0 · Score: 7.5

  Eval: Automatic Metrics · Metrics: Recall

• The Importance of Being Statistically Earnest: A Critical Re-evaluation of GSM-Symbolic

  May 27, 2026 · Citations: 0 · Score: 4.0

  Eval: Not reported · Metrics: Not reported

• GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Study

  May 27, 2026 · Citations: 0 · Score: 2.5

  Eval: Not reported · Metrics: Not reported

Protocol Matrix (Top 10)

Quickly compare method ingredients across this archive slice.

Papers In This Archive Slice

• The Importance of Being Statistically Earnest: A Critical Re-evaluation of GSM-Symbolic

  Dominika Agnieszka Długosz, Arlindo Oliveira, Natalia Díaz-Rodríguez · May 27, 2026 · Citations: 0

  The GSM-Symbolic benchmark (Mirzadeh et al., 2025) reported consistent performance drops across 25 Large Language Models (LLMs) when tested on template-generated variants of GSM8K problems, concluding that the models lack genuine reasoning…

• GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Study

  Gaspard Michel, Elena V. Epure, Romain Hennequin, Christophe Cerisara, Mirella Lapata · May 27, 2026 · Citations: 0

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

• Ask Now, Use Later: Benchmarking the Proactivity Gap in Long-Lived LLM Agents

  Bin Wu, Guanyun Zou, Bingbing Wang, Huan Zhao, Chuan Shi · May 27, 2026 · Citations: 0

  Pairwise Preference

  A long-lived LLM agent, such as OpenClaw, earns its value by acting on a user's preferences and constraints across sessions, not just the current request.

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