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Xunliang Cai

DENSE: Distilling Agent Trajectories into Evidence-Grounded Shortcut Trees for Self-Refinement
2026 · Liu, Siyuan, Yu, Fan, et al. · arXiv (Cornell University)
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AFD-Ledger: Deployment Provisioning for Attention--FFN Disaggregation
2026 · Qiu, Chengyu, Fu, Xiao, et al. · arXiv (Cornell University)
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LongCat Sparse Attention: Taming the Lightning via Streaming-aware Hierarchical Cross-Layer Indexing
2026 · Zan, Wen, Zhang, Jiaqi, et al. · arXiv (Cornell University)
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CuraWeb: Joint Optimization of Quality, Redundancy, and Diversity for Web-Scale Pretraining Data
2026 · Li, Peiguang, Zhou, Yongwei, et al. · arXiv (Cornell University)
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MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks
2026 · Ruan, Junhao, Abudula, Abudukeyumu, et al. · arXiv (Cornell University)
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When to Stop Reusing: Dynamic Gradient Gating for Sample-Efficient RLVR
2026 · Miao, Yuchun, Zhang, Sen, et al. · arXiv (Cornell University)
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Self-Distilled Agentic Reinforcement Learning
2026 · Lu, Zhengxi, Yao, Zhiyuan, et al. · arXiv (Cornell University)
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General365: Benchmarking General Reasoning in Large Language Models Across Diverse and Challenging Tasks
2026 · Liu, Junlin, An, Shengnan, et al. · arXiv (Cornell University)
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LARY: A Latent Action Representation Yielding Benchmark for Generalizable Vision-to-Action Alignment
2026 · Nie, Dujun, Chen, Fengjiao, et al. · arXiv (Cornell University)
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$V_{0.5}$: Generalist Value Model as a Prior for Sparse RL Rollouts
2026 · Zhang, Yi-Kai, Sun, Yueqing, et al. · arXiv (Cornell University)
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AutothinkRAG: Complexity-Aware Control of Retrieval-Augmented Reasoning for Image-Text Interaction
2026 · Yang, Jiashu, Zhang, Chi, et al. · arXiv (Cornell University)
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Towards Self-Robust LLMs: Intrinsic Prompt Noise Resistance via CoIPO
2026 · Yang, Xin, Li, Letian, et al. · arXiv (Cornell University)
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Exploring Reasoning Reward Model for Agents
2026 · Fan, Kaixuan, Feng, Kaituo, et al. · arXiv (Cornell University)
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Causal Autoregressive Diffusion Language Model
2026 · Ruan, Junhao, Li, Bei, et al. · arXiv (Cornell University)
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MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning
2026 · Shi, Yaorui, Liu, Shugui, et al. · arXiv (Cornell University)
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Scaling Embeddings Outperforms Scaling Experts in Language Models
2026 · Liu, Hong, Zhang, Jiaqi, et al. · arXiv (Cornell University)
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Reflecting Twice before Speaking with Empathy: Self-Reflective Alternating Inference for Empathy-Aware End-to-End Spoken Dialogue
2026 · Jia, Yuhang, Liu, Pei, et al. · arXiv (Cornell University)
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Accelerate Speculative Decoding with Sparse Computation in Verification
2026 · Jikai Wang, Jianchao Tan, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting
2026 · Binbin Zheng, Xing Ma, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Asuka-Bench: Benchmarking Code Agents on Underspecified User Intent and Multi-Round Refinement
2026 · Xin Wang, Liangtai Sun, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Distill Where You Fail: Recovering Learning Signals of Negative RL-Groups from Adaptive Teacher Guidance
2026 · Zhuowen Han, Jinwei Xiao, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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What Transfers from Text to Vision? Capability Scaling Laws and Transfer Dynamics for VLMs
2026 · Qiang Wang, Ziran Li, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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AFA-LoRA: Enabling Non-Linear Adaptations in LoRA with Activation Function Annealing
2025 · Li, Jiacheng, Tan, Jianchao, et al. · arXiv (Cornell University)
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Works count: 23
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