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From the 1 of 79 linked papers with an AI index.

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20242026
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cs.LG2026

ShortOPD: Recovering Pruned LLMs with Short-to-Long On-Policy Distillation

Qingyu Zhang, Qianhao Yuan, Hongyu Lin +7

The paper proposes ShortOPD, a short-to-long on-policy distillation method that recovers the generation quality of structured-pruned large language models by focusing training on e…

cs.LG2026

OmniFocus: Query-Guided Modality-Balanced Token Compression for Omni-Modal Large Language Models

Shijie Cao, Qingyu Zhang, Boxi Yu +6

Omni modal large language models (OmniLLMs) have attracted wide attention for their ability to jointly process audio and video, but they generate large token sequences under audio-…

cs.LG2026

Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards

Zhengzhao Ma, Xueru Wen, Boxi Cao +6

Reinforcement Learning from Verifiable Rewards (RLVR) significantly enhances large language models (LLMs) reasoning but severely suffers from calibration degeneration, where models…

cs.LG2026

P^2O: Joint Policy and Prompt Optimization

Xinyu Lu, Kaiqi Zhang, Jinglin Yang +6

Reinforcement Learning with Verifiable Rewards (RLVR) enhances Large Language Model (LLM) reasoning but suffers from advantage collapse on ``hard samples'' where all rollouts fail.…

cs.LG2026

Tackling Length Inflation Without Trade-offs: Group Relative Reward Rescaling for Reinforcement Learning

Zichao Li, Jie Lou, Fangchen Dong +8

Reinforcement learning significantly enhances LLM capabilities but suffers from a critical issue: length inflation, where models adopt verbosity or inefficient reasoning to maximiz…

cs.LG2025

Transferable Post-training via Inverse Value Learning

Xinyu Lu, Xueru Wen, Yaojie Lu +6

As post-training processes utilize increasingly large datasets and base models continue to grow in size, the computational demands and implementation challenges of existing algorit…