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Total papers: 4 Search mode: keyword Shortlist (0) RSS

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Match reason: Matches selected tags (Automatic Metrics, Coding).

Score: 58% Moderate protocol signal Freshness: Warm Status: Fallback
Human EvalLlm As Judge Coding
  • Gemini also serves as an LLM-as-a-judge system for automatic evaluation in our experiments.
  • The automated judgments were verified through human evaluation, demonstrating high agreement (kappa = 0.87).
Open paper
Learning to Predict Future-Aligned Research Proposals with Language Models

Heng Wang, Pengcheng Jiang, Jiashuo Sun, Zhiyi Shi, Haofei Yu, Jiawei Han · Mar 28, 2026

Citations: 0

Match reason: Matches selected tags (Automatic Metrics, Coding).

Score: 55% Moderate protocol signal Freshness: Warm Status: Fallback
Human EvalAutomatic Metrics MathCoding
  • Across Llama-3.1 and Qwen2.5 models, future-aligned tuning improves future alignment over unaligned baselines (up to +10.6% overall FAS), and domain-expert human evaluation corroborates improved proposal quality.
  • Finally, we demonstrate practical impact by implementing two model-generated proposals with a code agent, obtaining 4.17% accuracy gain on MATH from a new prompting strategy and consistent improvements for a novel model-merging method.
Open paper
DeEscalWild: A Real-World Benchmark for Automated De-Escalation Training with SLMs

Md Hasebul Hasan, Krity Haque Charu, Eshwara Prasad Sridhar, Shuchisnigdha Deb, Mohammad A. Islam · Mar 20, 2026

Citations: 0

Match reason: Matches selected tags (Automatic Metrics, Coding).

Score: 55% Moderate protocol signal Freshness: Warm Status: Fallback
Human EvalLlm As Judge LawCoding
  • To bridge this gap, we present DeEscalWild, a novel benchmark dataset curated from a multi-stage pipeline of in-the-wild police-civilian interactions extracted from publicly available video repositories.
  • Extensive experiments demonstrate that SLMs fine-tuned on this data significantly outperform their base counterparts across ROUGE-L, BLEU-4, METEOR, BERTScore, Realism Score, and human evaluation metrics.
Open paper
Automated Coding of Communication Data Using ChatGPT: Consistency Across Subgroups

Jiangang Hao, Wenju Cui, Patrick Kyllonen, Emily Kerzabi · Oct 23, 2025

Citations: 0

Match reason: Matches selected tags (Automatic Metrics, Coding).

Score: 53% Moderate protocol signal Freshness: Cold Status: Ready
Rubric Rating Human EvalAutomatic Metrics Coding
  • Prior research has established that ChatGPT can be directly instructed with coding rubrics to code the communication data and achieves accuracy comparable to human raters.
  • Our results show that ChatGPT-based coding perform consistently in the same way as human raters across gender or racial/ethnic groups, demonstrating the possibility of its use in large-scale assessments of collaboration and communication.
Open paper

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