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cs.CL2026

FCPRAG: Fusion-Controller Parametric Retrieval-Augmented Generation for Stable Multi-Passage LoRA Injection

Jinchang Zhu, Jindong Li, Yi Ding +5

Parametric retrieval-augmented generation (PRAG) injects retrieved evidence into a large language model (LLM) through passage-specific LoRA adapters, reducing reliance on long in-c…

cs.CL2026

StorySpark: Module-wise Evolutionary Search for Story Premise Generation

Yang Yang, Zining Zhong, Qian Cao +5

A story premise is the creative spark from which a full narrative can grow. Yet LLM-based story generation has mostly emphasized later-stage planning, controllability, coherence, a…

cs.CL2026

Continuous Knowledge Metabolism: Generating Scientific Hypotheses from Evolving Literature

Jinkai Tao, Yubo Wang, Xiaoyu Liu +1

Identifying promising research directions in fast-moving subareas is one of the most cognitively expensive tasks in modern AI research. Existing LLM-driven scientific discovery sys…

cs.CL2026

ConWriter: Transition-Constrained Stateful Long-Form Story Generation with Lightweight Neuro-Symbolic Consistency Control

Jindong Li, Yang Yang, Zihao Liu +2

Long-form story generation requires models to preserve narrative consistency across extended contexts, yet existing prompting-based methods often accumulate temporal, factual, char…

cs.CL2026

Where Does Long-Context Supervision Actually Go? Effective-Context Exposure Balancing

Jinchang Zhu, Jindong Li, Chengyu Zou +4

Long-context adaptation is often viewed as window scaling, but this misses a token-level supervision mismatch: in packed training with document masking, each target token's effecti…

cs.CL2026

Learning Less Is More: Premature Upper-Layer Attention Specialization Hurts Language Model Pretraining

Jinchang Zhu, Jindong Li, Yuwen Hao +3

A causal-decoder block is hierarchical: lower layers build the residual basis that upper layers attend over. We identify a failure mode in GPT pretraining: upper layers commit to s…