Summary of Imitating Language Via Scalable Inverse Reinforcement Learning, by Markus Wulfmeier et al.
Imitating Language via Scalable Inverse Reinforcement Learningby Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja,…
Summary of Harnessing the Power Of Semi-structured Knowledge and Llms with Triplet-based Prefiltering For Question Answering, by Derian Boer and Fabian Koch and Stefan Kramer
Harnessing the Power of Semi-Structured Knowledge and LLMs with Triplet-Based Prefiltering for Question Answeringby Derian…
Summary of Tinyagent: Function Calling at the Edge, by Lutfi Eren Erdogan et al.
TinyAgent: Function Calling at the Edgeby Lutfi Eren Erdogan, Nicholas Lee, Siddharth Jha, Sehoon Kim,…
Summary of Contextcite: Attributing Model Generation to Context, by Benjamin Cohen-wang et al.
ContextCite: Attributing Model Generation to Contextby Benjamin Cohen-Wang, Harshay Shah, Kristian Georgiev, Aleksander MadryFirst submitted…
Summary of Evaluating the Effectiveness Of Large Language Models in Representing and Understanding Movement Trajectories, by Yuhan Ji et al.
Evaluating the Effectiveness of Large Language Models in Representing and Understanding Movement Trajectoriesby Yuhan Ji,…
Summary of A Gradient Analysis Framework For Rewarding Good and Penalizing Bad Examples in Language Models, by Yi-lin Tuan et al.
A Gradient Analysis Framework for Rewarding Good and Penalizing Bad Examples in Language Modelsby Yi-Lin…
Summary of Salsa: Speedy Asr-llm Synchronous Aggregation, by Ashish Mittal et al.
SALSA: Speedy ASR-LLM Synchronous Aggregationby Ashish Mittal, Darshan Prabhu, Sunita Sarawagi, Preethi JyothiFirst submitted to…
Summary of Boosting Lossless Speculative Decoding Via Feature Sampling and Partial Alignment Distillation, by Lujun Gui et al.
Boosting Lossless Speculative Decoding via Feature Sampling and Partial Alignment Distillationby Lujun Gui, Bin Xiao,…
Summary of Instruct-skillmix: a Powerful Pipeline For Llm Instruction Tuning, by Simran Kaur et al.
Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuningby Simran Kaur, Simon Park, Anirudh Goyal, Sanjeev…
Summary of Llms As Zero-shot Graph Learners: Alignment Of Gnn Representations with Llm Token Embeddings, by Duo Wang and Yuan Zuo and Fengzhi Li and Junjie Wu
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddingsby Duo Wang,…