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  2. Evaluating Benefits of Heterogeneity in Constrained Multi-Agent…

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/evaluating_benefits_of_heterogeneity.pdf
    14 Dec 2023: Evaluating Benefits of Heterogeneity inConstrained Multi-Agent Learning. Alexandra Shaw. Supervisors: Prof. A. ProrokM. Bettini. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy
  3. 3D Pose Estimation and Topology Reconstruction Using Foundation…

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/3d_pose_estimation_and_topology_reconstruction.pdf
    14 Nov 2023: Our work can be expanded and improved upon with analysis on more test images,other datasets, and stronger foundation models and LLMs that improve performance. ... trained networks, they strugglewith the Sim2Real gap, losing performance on unseen test
  4. Eliciting Latent Knowledge from Language Reward Models

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/eliciting_latent_knowledge_from_language_reward_models_0.pdf
    17 Nov 2023: However, we do not worry about the possible data leakage and itseffect on generalization since we will be evaluating on the corresponding test sets which themodels have not seen during training. ... Therefore, unless stated otherwise, we try the last
  5. LLM self-critique for task-oriented text generation

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/llm_self-critique_for_task-oriented_text_generation.pdf
    24 Nov 2023: LLM self-critique for task-oriented textgeneration. Vilde Schulerud Bøe. Supervisor: Dr. Miri Zilka. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and

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