paper
A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs
paperactiveprovisional
a-tree-of-thoughts-inspired-hybrid-approach-for-legal-case-judgement-summarization-using-llms-87a85952·1 events·first seen 17h agoAliases: A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs
Co-occurring entities
More like this (12)
A Training-Free Mixture-of-Agents Framework for Multi-Document Summarization using LLMs and Knowledge Graphshuman-LLM collaborative annotationCan LLMs Judge Better Than They Generate? Evaluating Task Asymmetry, Mechanistic Interpretability and Transferability for In-Context QALLM-based content classificationAgentic Chain-of-Thought Steering for Efficient and Controllable LLM ReasoningLLM-as-a-JudgeLLM-judge scoringLLM inferencecode synthesis LLMsLLM-judged explanation scoreA sleep-like consolidation mechanism for LLMsLLM-assisted theme discovery pipeline
Recent events (1)
Tree-of-Thoughts hybrid approach for legal case judgement summarization using LLMs
A new arXiv preprint proposes a tree-of-thoughts-inspired extractive-abstractive summarization method for legal case judgements. The authors evaluate DeepSeek and LLaMA models across extractive, abstractive, and hybrid summarization strategies, finding the hybrid prompt approach yields better summaries. The work addresses a narrow but practically relevant domain application of LLMs in legal NLP.