HFEPX Archive Slice
HFEPX Daily Papers for 2026-05-17
Daily archive slice for 2026-05-17 from the HFEPX corpus. Updated from current HFEPX corpus (2026-06-07); covers 9 papers from 2026-05-17.
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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%
9 / 9 papers are not low-signal flagged.
Benchmark Anchors
22.2%
Papers with benchmark/dataset mentions in extraction output.
Metric Anchors
44.4%
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.
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SubscribeWhy This Time Slice Matters
- Use this archive slice to monitor protocol drift and shifts in evaluation methods over 2026-05-17.
Protocol Takeaways For This Period
- Evaluation modes for this slice cluster around automatic_metrics, simulation_env.
Start Here (Highest-Signal Papers In This Slice)
Ranked by protocol completeness and evidence density for faster period-over-period review.
- Temporal Decay of Co-Citation Predictability: A 20-Year Statute Retrieval Benchmark from 396M Ukrainian Court Citations
May 17, 2026 · Citations: 0 · Score: 6.5
Eval: Automatic Metrics · Metrics: Mrr
- Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs
May 17, 2026 · Citations: 0 · Score: 6.0
Eval: Simulation Env · Metrics: Not reported
- Causal Intervention-Based Memory Selection for Long-Horizon LLM Agents
May 17, 2026 · Citations: 0 · Score: 5.0
Eval: Automatic Metrics · Metrics: Relevance
- SafeLens: Deliberate and Efficient Video Guardrails with Fast-and-Slow Screening
May 17, 2026 · Citations: 0 · Score: 5.0
Eval: Automatic Metrics · Metrics: Cost, Inference cost
- Generalization or Memorization? Brittleness Testing for Chess-Trained Language Models
May 17, 2026 · Citations: 0 · Score: 5.0
Eval: Automatic Metrics · Metrics: Accuracy, Cost
- Beyond Transcripts: Iterative Peer-Editing with Audio Unlocks High-Quality Human Summaries of Conversational Speech
May 17, 2026 · Citations: 0 · Score: 2.5
Eval: Not reported · Metrics: Not reported
Protocol Matrix (Top 10)
Quickly compare method ingredients across this archive slice.
Researcher Workflow (Detailed)
Checklist
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Gap: Human feedback
Human feedback is present in 1 of 9 papers.
-
Gap: Quality controls
Quality controls is present in 0 of 9 papers.
-
Gap: Benchmarks
Benchmarks is present in 2 of 9 papers.
-
Moderate: Metrics
Metrics is present in 4 of 9 papers.
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Moderate: Known rater population
Known rater population is present in 2 of 9 papers.
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Moderate: Known annotation unit
Known annotation unit is present in 2 of 9 papers.
Strengths
- Agentic evaluation is present in 2 of 9 papers.
Known Gaps
- Human feedback is present in 1 of 9 papers.
- Quality controls is present in 0 of 9 papers.
- Benchmarks is present in 2 of 9 papers.
Suggested Next Analyses
- Compare 2026-05-17 against neighboring archive slices to flag protocol drift.
Recommended Queries
Known Limitations
- This synthetic archive page is generated on-demand from extraction data because no cached payload was available for 2026-05-17.
Research Utility Snapshot (Detailed)
Evaluation Modes
- Automatic Metrics (4)
- Simulation Env (1)
Top Metrics
- Cost (2)
- Accuracy (1)
- Inference cost (1)
- Mrr (1)
Top Benchmarks
- Tau2 Bench (1)
- Ua Statute Retrieval (1)
- Ua Statuteretrieval (1)
Quality Controls
Papers In This Archive Slice
- Beyond Transcripts: Iterative Peer-Editing with Audio Unlocks High-Quality Human Summaries of Conversational Speech
Kaavya Chaparala, Thomas Thebaud, Jesús Villalba López, Laureano Moro-Velazquez, Peter Viechnicki · May 17, 2026 · Citations: 0
There are not enough established benchmarks for the task fo speech summarization.
- Causal Intervention-Based Memory Selection for Long-Horizon LLM Agents
Saksham Sahai Srivastava · May 17, 2026 · Citations: 0
Long HorizonLong-horizon LLM agents rely on persistent memory to support interactions across sessions, yet existing memory systems often retrieve context using semantic similarity or broad history inclusion, treating retrieved memories as uniformly…
- Temporal Decay of Co-Citation Predictability: A 20-Year Statute Retrieval Benchmark from 396M Ukrainian Court Citations
Volodymyr Ovcharov · May 17, 2026 · Citations: 0
We test this assumption longitudinally by constructing UA-StatuteRetrieval, a benchmark that measures co-citation predictability across 20 annual snapshots (2007-2026) of 396 million codex citations from 101 million Ukrainian court…
- AI Agents May Always Fall for Prompt Injections
Sahar Abdelnabi, Eugene Bagdasarian · May 17, 2026 · Citations: 0
Prompt injection is the most critical vulnerability in deployed AI agents.
- SafeLens: Deliberate and Efficient Video Guardrails with Fast-and-Slow Screening
Shahriar Kabir Nahin, Hadi Askari, Muhao Chen, Anshuman Chhabra · May 17, 2026 · Citations: 0
The rapid growth of online video platforms and AI-generated content has made reliable video guardrails a key challenge for safety and real-world deployment.
- Mixture of Experts for Low-Resource LLMs
Ori Bar Joseph, Smadar Arvatz, Noam Kayzer, Dan Revital, Sarel Weinberger · May 17, 2026 · Citations: 0
Routing improvements correlate with consistent downstream benchmark gains, positioning routing entropy and expert specialization as principled diagnostics for multilingual capacity in MoE systems.
- How Off-Policy Can GRPO Be? Mu-GRPO for Efficient LLM Reinforcement Learning
Minghao Tian, Yunfei Xie, Chen Wei · May 17, 2026 · Citations: 0
Across five language models and multiple math reasoning benchmarks, Mu-GRPO matches or exceeds the performance of standard GRPO while achieving around 2x speedup in wall-clock training time, establishing a substantially improved…
- Generalization or Memorization? Brittleness Testing for Chess-Trained Language Models
Ethan Tang · May 17, 2026 · Citations: 0
Recent work has fine-tuned language models on chess data and reported high benchmark scores as evidence that the resulting models can understand the rules of chess, play full chess games at a professional level, or generate human-readable…
- Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs
Yuxuan Lu, Ziyi Wang, Yingzhou Lu, Yisi Sang, Jiri Gesi · May 17, 2026 · Citations: 0
Pairwise Preference Long HorizonTraining tool-calling agents requires large-scale trajectory data with verifiable labels, yet existing approaches either synthesize environments that diverge from real API behavior or generate tasks without ground-truth outcomes for…
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