Search Results for author:
Found 6 papers, 3 papers with code
Image-of-Thought Prompting for Visual Reasoning Refinement in Multimodal Large Language Models
Recent advancements in Chain-of-Thought (CoT) and related rationale-based works have significantly improved the performance of Large Language Models (LLMs) in complex reasoning tasks.
Ranked #5 on
Visual Question Answering
on MM-Vet
GLoRE: Evaluating Logical Reasoning of Large Language Models
Recently, large language models (LLMs), including notable models such as GPT-4 and burgeoning community models, have showcased significant general language understanding abilities.
LogiCoT: Logical Chain-of-Thought Instruction-Tuning
LogiCoT serves as an instruction set for teaching models of logical reasoning and elicits general reasoning skills.
Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4
With the release of Generative Pretrained Transformer 4 (GPT-4), highlighted as "advanced" at reasoning tasks, we are eager to learn the GPT-4 performance on various logical reasoning tasks.
AMR Parsing with Latent Structural Information
Abstract Meaning Representations (AMRs) capture sentence-level semantics structural representations to broad-coverage natural sentences.
Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification
The idea is to allow the dependency graph to guide the representation learning of the transformer encoder and vice versa.
