Cover Image

David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Han, Xiaochuang, Kumar, Sachin, Tsvetkov, Yulia, Ghazvininejad, Marjan
Format:	Preprint
Published:	2023
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

JPEG-LM: LLMs as Image Generators with Canonical Codec Representations
by: Han, Xiaochuang, et al.
Published: (2024)

P^3SUM: Preserving Author's Perspective in News Summarization with Diffusion Language Models
by: Liu, Yuhan, et al.
Published: (2023)

BASS: Benchmarking Audio LMs for Musical Structure and Semantic Reasoning
by: Jang, Min, et al.
Published: (2026)

MADFormer: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation
by: Chen, Junhao, et al.
Published: (2025)

MentorCollab: Selective Large-to-Small Inference-Time Guidance for Efficient Reasoning
by: Wang, Haojin, et al.
Published: (2026)

FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text
by: Boonsanong, Varich, et al.
Published: (2025)

Tuning Language Models by Proxy
by: Liu, Alisa, et al.
Published: (2024)

Can Language Models Solve Graph Problems in Natural Language?
by: Wang, Heng, et al.
Published: (2023)

Can LLM Graph Reasoning Generalize beyond Pattern Memorization?
by: Zhang, Yizhuo, et al.
Published: (2024)

Small Reward Models via Backward Inference
by: Wang, Yike, et al.
Published: (2026)

The Single-Multi Evolution Loop for Self-Improving Model Collaboration Systems
by: Feng, Shangbin, et al.
Published: (2026)

Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration Systems
by: Yang, Ziyuan, et al.
Published: (2026)

ComPO: Community Preferences for Language Model Personalization
by: Kumar, Sachin, et al.
Published: (2024)

Can David Beat Goliath? On Multi-Hop Reasoning with Resource-Constrained Agents
by: Han, Hojae, et al.
Published: (2026)

When One LLM Drools, Multi-LLM Collaboration Rules
by: Feng, Shangbin, et al.
Published: (2025)

Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
by: Feng, Shangbin, et al.
Published: (2023)

Data Swarms: Optimizable Generation of Synthetic Evaluation Data
by: Feng, Shangbin, et al.
Published: (2025)

Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge
by: Saha, Swarnadeep, et al.
Published: (2025)

MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization
by: Ahia, Orevaoghene, et al.
Published: (2024)

Finding Flawed Fictions: Evaluating Complex Reasoning in Language Models via Plot Hole Detection
by: Ahuja, Kabir, et al.
Published: (2025)

reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs
by: Wu, Zhaofeng, et al.
Published: (2025)

Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
by: Feng, Shangbin, et al.
Published: (2024)

KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models
by: Bai, Yuyang, et al.
Published: (2023)

Do Membership Inference Attacks Work on Large Language Models?
by: Duan, Michael, et al.
Published: (2024)

A Survey on Collaborative Mechanisms Between Large and Small Language Models
by: Chen, Yi, et al.
Published: (2025)

Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration
by: Feng, Shangbin, et al.
Published: (2024)

ScienceMeter: Tracking Scientific Knowledge Updates in Language Models
by: Wang, Yike, et al.
Published: (2025)

Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image
by: Hu, Yushi, et al.
Published: (2025)

What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection
by: Feng, Shangbin, et al.
Published: (2024)

Enabling Approximate Joint Sampling in Diffusion LMs
by: Bansal, Parikshit, et al.
Published: (2025)

DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection
by: Wan, Herun, et al.
Published: (2024)

Beyond Pattern Recognition: Probing Mental Representations of LMs
by: Miller, Moritz, et al.
Published: (2025)

Linguistic Generalizations are not Rules: Impacts on Evaluation of LMs
by: Weissweiler, Leonie, et al.
Published: (2025)

Resolving Knowledge Conflicts in Large Language Models
by: Wang, Yike, et al.
Published: (2023)

Representation Deficiency in Masked Language Modeling
by: Meng, Yu, et al.
Published: (2023)

ALMA: Alignment with Minimal Annotation
by: Yasunaga, Michihiro, et al.
Published: (2024)

CLASS-IT: Conversational and Lecture-Aligned Small-Scale Instruction Tuning for BabyLMs
by: Capone, Luca, et al.
Published: (2025)

Extracting Lexical Features from Dialects via Interpretable Dialect Classifiers
by: Xie, Roy, et al.
Published: (2024)

David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training
by: Luo, Weijian, et al.
Published: (2024)

Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models
by: Kumar, Sachin
Published: (2026)