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KLong: Training LLM Agent for Extremely Long-horizon Tasks

Yue Liu, Yingwei Ma, Yibo Miao, Yanhao Li, Yuchong Xie, Xinlong Yang · Feb 19, 2026

Citations: 0

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

Score: 100% Moderate protocol signal Freshness: Warm Status: Ready
Rubric Rating Long Horizon Coding
  • Then, we introduce Research-Factory, an automated pipeline that generates high-quality training data by collecting research papers and constructing evaluation rubrics.
  • Notably, our proposed KLong (106B) surpasses Kimi K2 Thinking (1T) by 11.28% on PaperBench, and the performance improvement generalizes to other coding benchmarks like SWE-bench Verified and MLE-bench.
Open paper

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

Score: 100% High protocol signal Freshness: Warm Status: Fallback
Automatic Metrics Multi Agent LawCoding
  • LLM coding benchmarks face a credibility crisis: widespread solution leakage and test quality issues undermine SWE-bench Verified, while existing detection methods--paraphrase consistency, n-gram overlap, perplexity analysis--never directly…
  • We introduce Cross-Context Verification (CCV), a black-box method that solves the same benchmark problem in N independent sessions and measures solution diversity, combined with the Hierarchical Cross-Context Architecture (HCCA), a…
Open paper
$V_1$: Unifying Generation and Self-Verification for Parallel Reasoners

Harman Singh, Xiuyu Li, Kusha Sareen, Monishwaran Maheswaran, Sijun Tan, Xiaoxia Wu · Mar 4, 2026

Citations: 0

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

Score: 100% High protocol signal Freshness: Warm Status: Fallback
Pairwise Preference Automatic Metrics MathCoding
  • On code generation (LiveCodeBench, CodeContests, SWE-Bench) and math reasoning (AIME, HMMT) benchmarks, V_1-Infer improves Pass@1 by up to 10% over pointwise verification and outperforms recent test-time scaling methods while being…
Open paper
SWE-Protégé: Learning to Selectively Collaborate With an Expert Unlocks Small Language Models as Software Engineering Agents

Patrick Tser Jern Kon, Archana Pradeep, Ang Chen, Alexander P. Ellis, Warren Hunt, Zijian Wang · Feb 25, 2026

Citations: 0

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

Score: 100% High protocol signal Freshness: Warm Status: Fallback
Automatic Metrics Long Horizon Coding
  • Our approach combines supervised fine-tuning on expert-augmented trajectories with agentic reinforcement learning that explicitly discourages degenerative looping and unproductive expert collaboration.
Open paper
Structurally Aligned Subtask-Level Memory for Software Engineering Agents

Kangning Shen, Jingyuan Zhang, Chenxi Sun, Wencong Zeng, Yang Yue · Feb 25, 2026

Citations: 0

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

Score: 100% Moderate protocol signal Freshness: Warm Status: Fallback
Automatic Metrics Long Horizon Coding
  • Large Language Models (LLMs) have demonstrated significant potential as autonomous software engineering (SWE) agents.
  • Recent work has further explored augmenting these agents with memory mechanisms to support long-horizon reasoning.
Open paper

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