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Trishul Chilimbi

Identifiers

  • name variant Trishul Chilimbi 0.60 · backfill

Papers (22)

  1. Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval cs.CL · 2025 · author #9
  2. AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs cs.LG · 2025 · author #9
  3. InfoPO: On Mutual Information Maximization for Large Language Model Alignment cs.LG · 2025 · author #8
  4. CoLLM: A Large Language Model for Composed Image Retrieval cs.CV · 2025 · author #7
  5. M-LLM Based Video Frame Selection for Efficient Video Understanding cs.CV · 2025 · author #11
  6. DreamBlend: Advancing Personalized Fine-tuning of Text-to-Image Diffusion Models cs.CV · 2024 · author #6
  7. Evolutionary Contrastive Distillation for Language Model Alignment cs.LG · 2024 · author #8
  8. X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs cs.CV · 2024 · author #7
  9. VidLA: Video-Language Alignment at Scale cs.CV · 2024 · author #8
  10. Robust Multi-Task Learning with Excess Risks cs.LG · 2024 · author #7
  11. Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications cs.CL · 2023 · author #12
  12. Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning cs.LG · 2023 · author #9
  13. SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing cs.LG · 2022 · author #5
  14. MICO: Selective Search with Mutual Information Co-training cs.IR · 2022 · author #5
  15. Efficient and effective training of language and graph neural network models cs.LG · 2022 · author #8
  16. DynaMaR: Dynamic Prompt with Mask Token Representation cs.CL · 2022 · author #7
  17. MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud cs.DC · 2022 · author #6
  18. Multi-modal Alignment using Representation Codebook cs.CV · 2022 · author #7
  19. Vision-Language Pre-Training with Triple Contrastive Learning cs.CV · 2022 · author #8
  20. Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning cs.CL · 2021 · author #7
  21. MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling cs.CV · 2021 · author #6
  22. Tiering as a Stochastic Submodular Optimization Problem cs.IR · 2020 · author #6

Mentions

  • 2509.00276 #9 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2506.00569 #9 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2505.08507 #8 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2502.19680 #11 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2503.19910 #7 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2411.19390 #6 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2410.07513 #8 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2407.13851 #7 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2402.02009 #7 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2403.14870 #8 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2306.02592 #12 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2209.04378 #5 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2303.05952 #9 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2212.05191 #5 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2205.00119 #6 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2206.10781 #8 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2206.02982 #7 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2203.00048 #7 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2202.10401 #8 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2111.00230 #7 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2109.12178 #6 · arxiv_oai · confidence 0.70 Trishul Chilimbi
  • 2005.07893 #6 · arxiv_oai · confidence 0.70 Trishul Chilimbi

Frequent Coauthors