Skip to content

OpenTrain Research Tools

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: 4 Search mode: keyword RSS

Filter by tag

All Automatic Metrics (876) General (528) Coding (281) Simulation Env (109) Multilingual (92) Math (90) Long Horizon (74) Medicine (69) Pairwise Preference (64) Law (43) Multi Agent (38) Human Eval (36) Expert Verification (23) Red Team (21) Web Browsing (21) Critique Edit (19)
BrowseComp-$V^3$: A Visual, Vertical, and Verifiable Benchmark for Multimodal Browsing Agents

Huanyao Zhang, Jiepeng Zhou, Bo Li, Bowen Zhou, Yanzhe Shan, Haishan Lu · Feb 13, 2026

Citations: 0
Automatic MetricsSimulation Env Web Browsing General
  • Multimodal large language models (MLLMs), equipped with increasingly advanced planning and tool-use capabilities, are evolving into autonomous agents capable of performing multimodal web browsing and deep search in open-world environments.
  • However, existing benchmarks for multimodal browsing remain limited in task complexity, evidence accessibility, and evaluation granularity, hindering comprehensive and reproducible assessments of deep search capabilities.
Hybrid Deep Searcher: Scalable Parallel and Sequential Search Reasoning

Dayoon Ko, Jihyuk Kim, Haeju Park, Sohyeon Kim, Dahyun Lee, Yongrae Jo · Aug 26, 2025

Citations: 0
Automatic Metrics Long Horizon General
  • Large reasoning models (LRMs) combined with retrieval-augmented generation (RAG) have enabled deep research agents capable of multi-step reasoning with external knowledge retrieval.
  • We introduce HybridDeepSearcher, a structured search agent that integrates parallel query expansion with explicit evidence aggregation before advancing to deeper sequential reasoning.
Towards Efficient Agents: A Co-Design of Inference Architecture and System

Weizhe Lin, Hui-Ling Zhen, Shuai Yang, Xian Wang, Renxi Liu, Hanting Chen · Dec 20, 2025

Citations: 0
Automatic Metrics Long Horizon General
  • The rapid development of large language model (LLM)-based agents has unlocked new possibilities for autonomous multi-turn reasoning and tool-augmented decision-making.
  • This paper presents AgentInfer, a unified framework for end-to-end agent acceleration that bridges inference optimization and architectural design.
Step 3.5 Flash: Open Frontier-Level Intelligence with 11B Active Parameters

Ailin Huang, Ang Li, Aobo Kong, Bin Wang, Binxing Jiao, Bo Dong · Feb 11, 2026

Citations: 0
Pairwise Preference Simulation Env Tool Use MathCoding
  • We introduce Step 3.5 Flash, a sparse Mixture-of-Experts (MoE) model that bridges frontier-level agentic intelligence and computational efficiency.
  • We focus on what matters most when building agents: sharp reasoning and fast, reliable execution.

Protocol Hubs

Simulation Env Papers (109) Multilingual Papers (92) Math Papers (90) Automatic Metrics Papers (876) General Papers (528) Coding Papers (281) Long Horizon Papers (74) Medicine Papers (69) Automatic Metrics + Long Horizon Papers (55) Pairwise Preference Papers (64) Automatic Metrics + Pairwise Preference Papers (51) Law Papers (43) Multi Agent Papers (38) Human Eval Papers (36) Automatic Metrics + Multi Agent Papers (25) Simulation Env + Long Horizon Papers (20)

Benchmark Hubs

Metric Hubs

Daily Archives