Summary of Beyond the Black Box: a Statistical Model For Llm Reasoning and Inference, by Siddhartha Dalal and Vishal Misra
Beyond the Black Box: A Statistical Model for LLM Reasoning and Inferenceby Siddhartha Dalal, Vishal…
Summary of Graph-enhanced Large Language Models in Asynchronous Plan Reasoning, by Fangru Lin et al.
Graph-enhanced Large Language Models in Asynchronous Plan Reasoningby Fangru Lin, Emanuele La Malfa, Valentin Hofmann,…
Summary of Ks-lottery: Finding Certified Lottery Tickets For Multilingual Language Models, by Fei Yuan et al.
KS-Lottery: Finding Certified Lottery Tickets for Multilingual Language Modelsby Fei Yuan, Chang Ma, Shuai Yuan,…
Summary of Faster and Lighter Llms: a Survey on Current Challenges and Way Forward, by Arnav Chavan et al.
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forwardby Arnav Chavan, Raghav…
Summary of Socially Aware Synthetic Data Generation For Suicidal Ideation Detection Using Large Language Models, by Hamideh Ghanadian et al.
Socially Aware Synthetic Data Generation for Suicidal Ideation Detection Using Large Language Modelsby Hamideh Ghanadian,…
Summary of Tricy: Trigger-guided Data-to-text Generation with Intent Aware Attention-copy, by Vibhav Agarwal et al.
TrICy: Trigger-guided Data-to-text Generation with Intent aware Attention-Copyby Vibhav Agarwal, Sourav Ghosh, Harichandana BSS, Himanshu…
Summary of Llm Voting: Human Choices and Ai Collective Decision Making, by Joshua C. Yang et al.
LLM Voting: Human Choices and AI Collective Decision Makingby Joshua C. Yang, Damian Dailisan, Marcin…
Summary of Decoding Speculative Decoding, by Minghao Yan et al.
Decoding Speculative Decodingby Minghao Yan, Saurabh Agarwal, Shivaram VenkataramanFirst submitted to arxiv on: 2 Feb…
Summary of Llms Learn Governing Principles Of Dynamical Systems, Revealing An In-context Neural Scaling Law, by Toni J.b. Liu et al.
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling lawby Toni J.B.…
Summary of Kvquant: Towards 10 Million Context Length Llm Inference with Kv Cache Quantization, by Coleman Hooper et al.
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantizationby Coleman Hooper, Sehoon…