EpiBench is a new episodic multi-turn multimodal benchmark where even leading AI agents score only 29.23% on hard tasks requiring cross-paper evidence integration from figures and tables.
arXiv preprint arXiv:2503.18533 (2025)
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StochasT uses stochastic clustering of language tasks into varying turn depths for the same image to improve LVLMs on both single-turn and multi-turn scenarios without discarding data.
MANTA is a new multi-turn dynamic benchmark that stress-tests frontier LLMs on animal welfare alignment by generating targeted adversarial follow-ups and scoring across 13 dimensions, with preliminary results showing variance in later turns and format bias in LLM judges.
citing papers explorer
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EpiBench: Benchmarking Multi-turn Research Workflows for Multimodal Agents
EpiBench is a new episodic multi-turn multimodal benchmark where even leading AI agents score only 29.23% on hard tasks requiring cross-paper evidence integration from figures and tables.
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StochasT: Learning with Stochastic Turn Depth for Visual Instruction Tuning
StochasT uses stochastic clustering of language tasks into varying turn depths for the same image to improve LVLMs on both single-turn and multi-turn scenarios without discarding data.
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MANTA: Multi-turn Assessment for Nonhuman Thinking & Alignment
MANTA is a new multi-turn dynamic benchmark that stress-tests frontier LLMs on animal welfare alignment by generating targeted adversarial follow-ups and scoring across 13 dimensions, with preliminary results showing variance in later turns and format bias in LLM judges.