Archiki Prasad
16 papers · 2020–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (38) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π§
Keyword Pioneer
π€
Dynamic Duo
(14)
ποΈ
Keyword Collector
(88)
π
Century Club Β· Bronze
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(11)
Core AI
(11)
Natural Language Processing
(10)
Core Methods
(5)
Generation
(5)
Applications
(4)
Learning Paradigms
(4)
Optimization & Theory
(4)
Deep Learning
(3)
Learning Types Β· Deep Learning
(3)
Resources & Methods
(3)
Speech & Audio
(2)
Application Areas
(2)
Learning Types Β· Machine Learning
(2)
Keywords
large language model
(6)
question answering
(2)
representation learning
(2)
natural language inference
(2)
vision-language model
(2)
reward model
(2)
automatic speech recognition
(1)
visual question answering
(1)
reward modeling
(1)
prompt engineering
(1)
preference optimization
(1)
multimodal learning
(1)
sparse representation
(1)
natural language understanding
(1)
majority voting
(1)
cross-lingual transfer
(1)
model alignment
(1)
sample selection
(1)
iterative refinement
(1)
information extraction
(1)
Papers
GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs
ACL 2026
PRInTS: Reward Modeling for Long-Horizon Information Seeking
ACL 2026
AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge
NAACL 2025
MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning
EMNLP 2025
Multi-Attribute Steering of Language Models via Targeted Intervention
ACL 2025
Self-Consistency Preference Optimization
ICML 2025
System 1.x: Learning to Balance Fast and Slow Planning with Language Models
ICLR 2025
ADaPT: As-Needed Decomposition and Planning with Language Models
NAACL 2024
ReGAL: Refactoring Programs to Discover Generalizable Abstractions
ICML 2024
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models
ICLR 2024
Soft Self-Consistency Improves Language Models Agents
ACL 2024
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models
EACL 2023
MeetingQA: Extractive Question-Answering on Meeting Transcripts
ACL 2023
ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness
EMNLP 2023
The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding
EMNLP 2021
How Accents Confound: Probing for Accent Information in End-to-End Speech Recognition Systems
ACL 2020