Shubham Toshniwal
16 papers · 2017–2025 · 7 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 ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (48)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(100)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(6)
Top co-authors
Research topics
Artificial Intelligence
(12)
Machine Learning
(12)
Deep Learning
(11)
Natural Language Processing
(11)
Core AI
(11)
Core Methods
(6)
Learning Types Β· Machine Learning
(6)
Understanding
(6)
Architectures
(5)
Learning Types Β· Deep Learning
(5)
Generation
(4)
Learning Paradigms
(4)
Models
(4)
Resources & Methods
(4)
Speech & Audio
(3)
Keywords
coreference resolution
(5)
large language model
(3)
entity tracking
(2)
few-shot learning
(2)
domain generalization
(2)
zero-shot learning
(2)
memory-augmented neural network
(2)
mathematical reasoning
(2)
named entity recognition
(2)
transfer learning
(1)
in-context learning
(1)
data augmentation
(1)
entity linking
(1)
question answering
(1)
benchmark evaluation
(1)
attention mechanism
(1)
text summarization
(1)
self-supervised learning
(1)
language modeling
(1)
text generation
(1)
Papers
IdentifyMe: A Challenging Long-Context Mention Resolution Benchmark for LLMs
NAACL 2025
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
ICLR 2025
Major Entity Identification: A Generalizable Alternative to Coreference Resolution
EMNLP 2024
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
NeurIPS 2024
Adapting Pretrained Text-to-Text Models for Long Text Sequences
EMNLP 2023
Learning to Reason and Memorize with Self-Notes
NeurIPS 2023
Robustness of Named-Entity Replacements for In-Context Learning
EMNLP 2023
Baked-in State Probing
EMNLP 2022
Chess as a Testbed for Language Model State Tracking
AAAI 2022
On Generalization in Coreference Resolution
EMNLP 2021
A Cross-Task Analysis of Text Span Representations
ACL 2020
Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks
EMNLP 2020
PeTra: A Sparsely Supervised Memory Model for People Tracking
ACL 2020
Pre-Trained Text Embeddings for Enhanced Text-to-Speech Synthesis
Interspeech 2019
Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information
NAACL 2018
Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition
Interspeech 2017