1 citations · 2 across the 12 of their papers we have counts for
12 papers
Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD)
Avshalom Manevich, Reut Tsarfaty
Large Vision-Language Models (LVLMs) are an extension of Large Language Models (LLMs) that facilitate processing both image and text inputs, expanding AI capabilities. However, LVL…
NoviCode: Generating Programs from Natural Language Utterances by Novices
Asaf Achi Mordechai, Yoav Goldberg, Reut Tsarfaty
Current Text-to-Code models demonstrate impressive capabilities in generating executable code from natural language snippets. However, current studies focus on technical instructio…
Into the Unknown: Generating Geospatial Descriptions for New Environments
Tzuf Paz-Argaman, John Palowitch, Sayali Kulkarni +2
Similar to vision-and-language navigation (VLN) tasks that focus on bridging the gap between vision and language for embodied navigation, the new Rendezvous (RVS) task requires rea…
MRL Parsing Without Tears: The Case of Hebrew
Shaltiel Shmidman, Avi Shmidman, Moshe Koppel +1
Syntactic parsing remains a critical tool for relation extraction and information extraction, especially in resource-scarce languages where LLMs are lacking. Yet in morphologically…
Breaking the Language Barrier: Can Direct Inference Outperform Pre-Translation in Multilingual LLM Applications?
Yotam Intrator, Matan Halfon, Roman Goldenberg +5
Large language models hold significant promise in multilingual applications. However, inherent biases stemming from predominantly English-centric pre-training have led to the wides…
A Truly Joint Neural Architecture for Segmentation and Parsing
Danit Yshaayahu Levi, Reut Tsarfaty
Contemporary multilingual dependency parsers can parse a diverse set of languages, but for Morphologically Rich Languages (MRLs), performance is attested to be lower than other lan…