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Human Feedback and Eval Paper Explorer

A focused feed for RLHF, preference data, rater protocols, agent evaluation, and LLM-as-judge research. Every paper includes structured metadata for quick triage.

Total papers: 6 Search mode: keyword Shortlist (0) RSS

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Match reason: Keyword overlap 2/2 across title and protocol fields.

Score: 90% Moderate protocol signal Freshness: Hot Status: Ready
Automatic Metrics Math
  • We present a controlled empirical benchmark of seven recent reasoning-oriented instruction-tuned models spanning dense and MoE designs, namely Gemma-4-E2B, Gemma-4-E4B, Gemma-4-26B-A4B, Phi-4-mini-reasoning, Phi-4-reasoning, Qwen3-8B, and…
  • The study covers 8,400 total model-dataset-prompt evaluations and records accuracy, latency, peak GPU memory usage (VRAM), and an approximate floating-point operations (FLOPs)-per-token proxy.
Open paper
Causal Concept Graphs in LLM Latent Space for Stepwise Reasoning

Md Muntaqim Meherab, Noor Islam S. Mohammad, Faiza Feroz · Mar 11, 2026

Citations: 0

Match reason: Keyword overlap 2/2 across title and protocol fields.

Score: 80% Moderate protocol signal Freshness: Warm Status: Ready
Long Horizon General
  • Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
Open paper

Match reason: Keyword overlap 2/2 across title and protocol fields.

Score: 77% Sparse protocol signal Freshness: Warm Status: Ready
General
  • How safety supervision is written may matter more than the explicit identity content it contains.
  • Across three instruction-tuned model families (Llama 3.1 8B, Qwen2.5 7B, and Gemma 3 4B), we evaluate HarmBench using a reconciled dual-judge pipeline combining Bedrock-hosted DeepSeek v3.2 and Sonnet 4.6, with disagreement and boundary…
Open paper

Match reason: Keyword overlap 2/2 across title and protocol fields.

Score: 83% High protocol signal Freshness: Warm Status: Fallback
Automatic Metrics Long Horizon Multilingual
  • Building on the information bottleneck principle, we conceptualize explanations as compressed representations that retain only the information essential for producing correct answers.To operationalize this view, we introduce an evaluation…
Open paper
EoRA: Fine-tuning-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation

Shih-Yang Liu, Maksim Khadkevich, Nai Chit Fung, Charbel Sakr, Chao-Han Huck Yang, Chien-Yi Wang · Oct 28, 2024

Citations: 0

Match reason: Keyword overlap 2/2 across title and protocol fields.

Score: 78% Moderate protocol signal Freshness: Cold Status: Ready
Automatic Metrics MathCoding
  • Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
Open paper
Markovian Transformers for Informative Language Modeling

Scott Viteri, Max Lamparth, Peter Chatain, Clark Barrett · Apr 29, 2024

Citations: 0

Match reason: Keyword overlap 2/2 across title and protocol fields.

Score: 71% Sparse protocol signal Freshness: Cold Status: Ready
Math
  • Cross-model evaluation confirms that learned CoTs generalize across architectures, suggesting they encode transferable reasoning steps rather than model-specific artifacts.
Open paper

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