Faeze Brahman
35 papers · 2020–2025 · 7 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (76) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Dynamic Duo
(20)
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Topic Evolution
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Conference Pioneer
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Unstoppable · Bronze
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The Questioner
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Prolific Year · Prolific
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Century Club · Bronze
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Trend Setter
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Keyword Collector
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Research topics
Artificial Intelligence
(28)
Core AI
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Natural Language Processing
(21)
Machine Learning
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Deep Learning
(19)
Learning Types · Machine Learning
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Generation
(11)
Learning Types · Deep Learning
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Applications
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Models
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Application Areas
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Interdisciplinary
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Core Methods
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Reinforcement Learning
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Methods
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Keywords
large language model
(10)
language model
(10)
text generation
(6)
commonsense reasoning
(4)
pre-trained language model
(3)
ai safety
(3)
story generation
(3)
reinforcement learning
(3)
neural language model
(2)
safety training
(2)
narrative understanding
(2)
reinforcement learning from human feedback
(2)
content moderation
(2)
natural language generation
(2)
offline reinforcement learning
(2)
explanation generation
(2)
model compression
(2)
knowledge distillation
(2)
adversarial attack
(2)
logical reasoning
(1)
Papers
AI-LieDar : Examine the Trade-off Between Utility and Truthfulness in LLM Agents
NAACL 2025
Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications
ACL 2025
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback
ACL 2025
Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences
EMNLP 2025
Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement
ICLR 2025
Agent Lumos: Unified and Modular Training for Open-Source Language Agents
ACL 2024
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models
EMNLP 2024
Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model
NAACL 2024
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search
EMNLP 2024
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
ICLR 2024
MacGyver: Are Large Language Models Creative Problem Solvers?
NAACL 2024
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning
ICLR 2024
Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization
ACL 2024
The Art of Saying No: Contextual Noncompliance in Language Models
NeurIPS 2024
The Generative AI Paradox: “What It Can Create, It May Not Understand”
ICLR 2024
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations
NAACL 2024
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models
NeurIPS 2024
Affective and Dynamic Beam Search for Story Generation
EMNLP 2023
Generating Sequences by Learning to Self-Correct
ICLR 2023
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
EMNLP 2023
REV: Information-Theoretic Evaluation of Free-Text Rationales
ACL 2023
STEER: Unified Style Transfer with Expert Reinforcement
EMNLP 2023
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
NeurIPS 2023
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations
EMNLP 2023
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation
EMNLP 2022
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations
EMNLP 2022
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization
EMNLP 2022
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach
NAACL 2022
Towards Inter-character Relationship-driven Story Generation
EMNLP 2022
Is Everything in Order? A Simple Way to Order Sentences
EMNLP 2021
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision
AAAI 2021
“Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding
EMNLP 2021
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference
EMNLP 2021
Cue Me In: Content-Inducing Approaches to Interactive Story Generation
AACL 2020
Modeling Protagonist Emotions for Emotion-Aware Storytelling
EMNLP 2020