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HFEPX Benchmark Hub

WebArena Ecosystem Benchmark Papers

Updated from current HFEPX corpus (Mar 1, 2026). 13 papers are grouped in this benchmark page.

Read Full Context

Updated from current HFEPX corpus (Mar 1, 2026). 13 papers are grouped in this benchmark page. Common evaluation modes: Simulation Env, Automatic Metrics. Most common rater population: Domain Experts. Common annotation unit: Trajectory. Frequently cited benchmark: BrowseComp. 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 Feb 11, 2026.

Papers: 13 Last published: Feb 11, 2026 Global RSS

Researcher Quick Triage

Use this page for benchmark-matched method comparisons and eval protocol selection. Quality band: Developing .

High-Signal Coverage

100.0%

13 / 13 sampled papers are not low-signal flagged.

Replication-Ready Set

5

Papers with explicit benchmark + metric + eval mode fields.

Quality Controls

0.0%

0 papers report calibration/adjudication/IAA controls.

  • 10 papers explicitly name benchmark datasets in the sampled set.
  • 7 papers report at least one metric term in metadata extraction.
  • Start with the ranked shortlist below before reading all papers.

Primary action: Start with the top 2 benchmark-matched papers, then compare evaluation modes in the protocol matrix.

Why This Matters (Expanded)

Why This Matters For Eval Research

  • 9.1% of papers report explicit human-feedback signals, led by pairwise preferences.
  • simulation environments appears in 46.2% of papers in this hub.
  • BrowseComp is a recurring benchmark anchor for cross-paper comparisons in this page.
Protocol Notes (Expanded)

Protocol Takeaways

  • 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.
  • Pair this hub with a human_eval-heavy hub to validate judge-model calibration.

Benchmark Interpretation

  • BrowseComp appears in 45.5% of hub papers (5/13); use this cohort for benchmark-matched comparisons.
  • ALFWorld appears in 27.3% of hub papers (3/13); use this cohort for benchmark-matched comparisons.

Metric Interpretation

  • accuracy is reported in 27.3% of hub papers (3/13); compare with a secondary metric before ranking methods.
  • cost is reported in 27.3% of hub papers (3/13); compare with a secondary metric before ranking methods.

Start Here (Benchmark-Matched First 6)

Ranked by protocol completeness so you can quickly find papers suitable for comparison studies.

Protocol Matrix (Top 10)

Compare protocol ingredients quickly before deep-reading full papers.

Paper Eval Modes Human Feedback Metrics Quality Controls
Step 3.5 Flash: Open Frontier-Level Intelligence with 11B Active Parameters

Feb 11, 2026

Not reported Pairwise Preference Latency, Cost Not reported
Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization

Feb 26, 2026

Automatic Metrics Not reported Accuracy, Latency Not reported
Embodied Task Planning via Graph-Informed Action Generation with Large Language Model

Jan 29, 2026

Simulation Env Not reported Pass@1, Cost Not reported
Towards Efficient Agents: A Co-Design of Inference Architecture and System

Dec 20, 2025

Automatic Metrics Not reported Accuracy, Latency Not reported
Hybrid Deep Searcher: Scalable Parallel and Sequential Search Reasoning

Aug 26, 2025

Automatic Metrics Not reported F1 Not reported
CoAct-1: Computer-using Multi-Agent System with Coding Actions

Aug 5, 2025

Automatic Metrics Not reported Success rate Not reported
World-Model-Augmented Web Agents with Action Correction

Feb 17, 2026

Llm As Judge, Simulation Env Not reported Not reported Not reported
Hierarchy-of-Groups Policy Optimization for Long-Horizon Agentic Tasks

Feb 26, 2026

Simulation Env Not reported Not reported Not reported
SELAUR: Self Evolving LLM Agent via Uncertainty-aware Rewards

Feb 24, 2026

Simulation Env Not reported Not reported Not reported
Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents

Feb 15, 2026

Simulation Env Not reported Not reported Not reported
Researcher Workflow (Detailed)

Checklist

  • Gap: Papers with explicit human feedback

    Coverage is a replication risk (9.1% vs 45% target).

  • Gap: Papers reporting quality controls

    Coverage is a replication risk (0% vs 30% target).

  • Strong: Papers naming benchmarks/datasets

    Coverage is strong (100% vs 35% target).

  • Strong: Papers naming evaluation metrics

    Coverage is strong (63.6% vs 35% target).

  • Moderate: Papers with known rater population

    Coverage is usable but incomplete (27.3% vs 35% target).

  • Strong: Papers with known annotation unit

    Coverage is strong (36.4% vs 35% target).

Strengths

  • Most papers provide measurable evaluation context (100% benchmarks, 63.6% metrics).
  • Agentic evaluation appears in 100% of papers.

Known Gaps

  • Only 0% of papers report quality controls; prioritize calibration/adjudication evidence.
  • LLM-as-judge appears without enough inter-annotator agreement reporting.

Suggested Next Analyses

  • Pair this hub with a human_eval-heavy hub to validate judge-model calibration.
  • Stratify by benchmark (BrowseComp vs ALFWorld) before comparing methods.
  • Track metric sensitivity by reporting both accuracy and cost.

Recommended Queries

Known Limitations
  • Only 0% of papers report quality controls; prioritize calibration/adjudication evidence.
  • LLM-as-judge appears without enough inter-annotator agreement reporting.
  • Narrative synthesis is grounded in metadata and abstracts only; full-paper implementation details are not parsed.
Research Utility Snapshot (Detailed)

Evaluation Modes

  • Simulation Env (6)
  • Automatic Metrics (5)
  • Llm As Judge (1)

Human Feedback Mix

  • Pairwise Preference (1)

Top Benchmarks

  • BrowseComp (5)
  • ALFWorld (3)
  • OSWorld (2)
  • WebShop (2)

Top Metrics

  • Accuracy (3)
  • Cost (3)
  • Latency (3)
  • Coherence (1)

Top Papers On This Benchmark

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