Summary of Longvideobench: a Benchmark For Long-context Interleaved Video-language Understanding, by Haoning Wu et al.
LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understandingby Haoning Wu, Dongxu Li, Bei Chen, Junnan…
Summary of Generalization V.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Data, by Xinyi Wang et al.
Generalization v.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Databy Xinyi Wang, Antonis Antoniades,…
Summary of Lazyllm: Dynamic Token Pruning For Efficient Long Context Llm Inference, by Qichen Fu et al.
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inferenceby Qichen Fu, Minsik Cho, Thomas…
Summary of Indic Qa Benchmark: a Multilingual Benchmark to Evaluate Question Answering Capability Of Llms For Indic Languages, by Abhishek Kumar Singh et al.
INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic…
Summary of Evaluation Of Rag Metrics For Question Answering in the Telecom Domain, by Sujoy Roychowdhury et al.
Evaluation of RAG Metrics for Question Answering in the Telecom Domainby Sujoy Roychowdhury, Sumit Soman,…
Summary of Reasoning with Large Language Models, a Survey, by Aske Plaat et al.
Reasoning with Large Language Models, a Surveyby Aske Plaat, Annie Wong, Suzan Verberne, Joost Broekens,…
Summary of Unraveling the Truth: Do Vlms Really Understand Charts? a Deep Dive Into Consistency and Robustness, by Srija Mukhopadhyay et al.
Unraveling the Truth: Do VLMs really Understand Charts? A Deep Dive into Consistency and Robustnessby…
Summary of Fine-tuning and Prompt Optimization: Two Great Steps That Work Better Together, by Dilara Soylu et al.
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Togetherby Dilara Soylu, Christopher Potts,…
Summary of Iot-lm: Large Multisensory Language Models For the Internet Of Things, by Shentong Mo et al.
IoT-LM: Large Multisensory Language Models for the Internet of Thingsby Shentong Mo, Russ Salakhutdinov, Louis-Philippe…
Summary of Gofa: a Generative One-for-all Model For Joint Graph Language Modeling, by Lecheng Kong et al.
GOFA: A Generative One-For-All Model for Joint Graph Language Modelingby Lecheng Kong, Jiarui Feng, Hao…