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Revisiting Natural Language Understanding with Large Language Models

sushmaanandakoju/recent-works

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recent-works - Works-in-progress

2023-paper-summaries

2024-paper-summaries

2025-paper-summaries

Audio (basic stuff)

LLMs

Multimodal-ai (basic stuff)

Natural Language Understanding

  • NLI
  • Paraphrase
  • Summarization
  • Semantic Parsing
  • Question Answering
  • Sentiment Analysis
  • Dialogue Agents

Neurosymbolic Methods

  • Types of Neurosymbolic Methods
  • Knowledge representation
  • Knowledge graphs
  • Reasoning using Neurosymbolic methods

NLRL: Natural Language Reinforcement Learning

  • Chain-of-thought
  • Language policy
  • Reward Modeling
  • Policy Optimization

RLAIF

  • Adversarial Objectives
  • Datasets for providing feedback
  • Self-Reflection
  • Critics
  • Judges

Value Alignment Learning

  • Cooperative Inverse RL
  • Preference Learning
  • Constitutional Optimization

Truthfulness and Factual Consistency

  • Adversarial Truthfulness Regulation
  • Truthfulness as an Environmental Constraint
  • Self-Reflective Belief Tracking

Conversational Coherence

  • Intent Classification: Predicting semantic continuity based on topic modeling & named entity chains.

RLHF

  • PPO
  • DPO
  • Alignment with Human Preferences

Inverse RL

Human-in-the-loop RL

Usecase: Education & AI-based tutor

Reasoning

  • Types of reasoning
  • Recent methods of evaluating reasoning

Representations

  • NeSy summary and example implementations

Note: Please email me to request access to the respective private submodules/repositories.

@online{sakoju-github-works-study-list,
	title        = {github sakoju/recent-works},
	author       = {sushmaanandakoju},
	year         = {2023-2025},
	note         = {[Accessed in 2025]},
	howpublished = {\url{https://github.com/sushmaakoju/recent-works}}
}

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