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cs.CL2026
Towards Scalable RLVR: Multimodal Instruction Following Data Synthesis and Distillation
Yirong Zeng, Zhang Sai, Yuxian Wang +4
Multimodal instruction following (MMIF) is crucial for building generalist agents. However, current training paradigms rely heavily on Supervised Fine-Tuning (SFT), which often lea…
cs.CL2026
TinyJudge: Unverifiable Constraint Alignment via Lightweight Specialist Ensembles
Yirong Zeng, Yufei Liu, Xiao Ding +9
Instruction Following (IF) is a core capability of LLMs, requiring strict adherence to diverse constraints, ranging from verifiable ones (e.g., output length) to unverifiable ones…