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20242026
most citedAgent Laboratory: Using LLM Agents as Research Assistants

29 citations · 30 across the 19 of their papers we have counts for

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6 papers · 1 filter

cs.CL2026

Instella-MoE Technical Report

Jiang Liu, Sudhanshu Ranjan, Prakamya Mishra +10

In this work, we introduce Instella-MoE, a fully open Mixture-of-Experts (MoE) language model with 16 billion total parameters and 2.8 billion active parameters per token, trained…

cs.CV2026

VEGAS: Human-Aligned Video Caption Evaluation via Gaze

Shenghui Chen, Po-han Li, Ximeng Sun +5

Vision-language models excel at video captioning, yet typically generate descriptions that fail to capture individual viewers' attention. We propose VEGAS (Video caption Evaluation…

cs.CV2026

VideoSeek: Long-Horizon Video Agent with Tool-Guided Seeking

Jingyang Lin, Jialian Wu, Jiang Liu +6

Video agentic models have advanced challenging video-language tasks. However, most agentic approaches still heavily rely on greedy parsing over densely sampled video frames, result…

cs.AI2026

TermiGen: High-Fidelity Environment and Robust Trajectory Synthesis for Terminal Agents

Kaijie Zhu, Yuzhou Nie, Yijiang Li +10

Executing complex terminal tasks remains a significant challenge for open-weight LLMs, constrained by two fundamental limitations. First, high-fidelity, executable training environ…

cs.CL2026

Reliable Use of Lemmas via Eligibility Reasoning and SectionAware Reinforcement Learning

Zhikun Xu, Xiaodong Yu, Ben Zhou +6

Recent large language models (LLMs) perform strongly on mathematical benchmarks yet often misapply lemmas, importing conclusions without validating assumptions. We formalize lemma$…

cs.CL2026

CD4LM: Consistency Distillation and aDaptive Decoding for Diffusion Language Models

Yihao Liang, Ze Wang, Hao Chen +7

Autoregressive large language models achieve strong results on many benchmarks, but decoding remains fundamentally latency-limited by sequential dependence on previously generated…