10 research outputs found
Deep and shallow slice knots in 4-manifolds
We consider slice disks for knots in the boundary of a smooth compact
4-manifold . We call a knot deep slice in if
there is a smooth properly embedded 2-disk in with boundary , but is
not concordant to the unknot in a collar neighborhood of
the boundary. We point out how this concept relates to various well-known
conjectures and give some criteria for the nonexistence of such deep slice
knots. Then we show, using the Wall self-intersection invariant and a result of
Rohlin, that every 4-manifold consisting of just one 0- and a nonzero number of
2-handles always has a deep slice knot in the boundary. We end by considering
4-manifolds where every knot in the boundary bounds an embedded disk in the
interior. A generalization of the Murasugi-Tristram inequality is used to show
that there does not exist a compact, oriented 4-manifold with spherical
boundary such that every knot is slice in via
a null-homologous disk.Comment: 14 pages, 5 figures; v3 is the final draft which has been accepted
for publication in Proceedings of the AMS, Series B; v3 includes improvements
to the exposition thanks to the anonymous refere
Homotopy classification of 4-manifolds whose fundamental group is dihedral
We show that the homotopy type of a finite oriented Poincar\'{e} 4-complex is
determined by its quadratic 2-type provided its fundamental group is finite and
has a dihedral Sylow 2-subgroup. By combining with results of Hambleton-Kreck
and Bauer, this applies in the case of smooth oriented 4-manifolds whose
fundamental group is a finite subgroup of SO(3). An important class of examples
are elliptic surfaces with finite fundamental group.Comment: 23 pages. Final version, to appear in Algebraic & Geometric Topolog
Unknotting via null-homologous twists and multi-twists
The untwisting number of a knot K is the minimum number of null-homologous
twists required to convert K to the unknot. Such a twist can be viewed as a
generalization of a crossing change, since a classical crossing change can be
effected by a null-homologous twist on 2 strands. While the unknotting number
gives an upper bound on the smooth 4-genus, the untwisting number gives an
upper bound on the topological 4-genus. The surgery description number, which
allows multiple null-homologous twists in a single twisting region to count as
one operation, lies between the topological 4-genus and the untwisting number.
We show that the untwisting and surgery description numbers are different for
infinitely many knots, though we also find that the untwisting number is at
most twice the surgery description number plus 1.Comment: 14 pages, 6 figure
ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity?
Recent research on dialogue state tracking (DST) focuses on methods that
allow few- and zero-shot transfer to new domains or schemas. However,
performance gains heavily depend on aggressive data augmentation and
fine-tuning of ever larger language model based architectures. In contrast,
general purpose language models, trained on large amounts of diverse data, hold
the promise of solving any kind of task without task-specific training. We
present preliminary experimental results on the ChatGPT research preview,
showing that ChatGPT achieves state-of-the-art performance in zero-shot DST.
Despite our findings, we argue that properties inherent to general purpose
models limit their ability to replace specialized systems. We further theorize
that the in-context learning capabilities of such models will likely become
powerful tools to support the development of dedicated and dynamic dialogue
state trackers.Comment: 13 pages, 3 figures, accepted at ACL 202
From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented Dialogue
Emotion recognition in conversations (ERC) is a crucial task for building
human-like conversational agents. While substantial efforts have been devoted
to ERC for chit-chat dialogues, the task-oriented counterpart is largely left
unattended. Directly applying chit-chat ERC models to task-oriented dialogues
(ToDs) results in suboptimal performance as these models overlook key features
such as the correlation between emotions and task completion in ToDs. In this
paper, we propose a framework that turns a chit-chat ERC model into a
task-oriented one, addressing three critical aspects: data, features and
objective. First, we devise two ways of augmenting rare emotions to improve ERC
performance. Second, we use dialogue states as auxiliary features to
incorporate key information from the goal of the user. Lastly, we leverage a
multi-aspect emotion definition in ToDs to devise a multi-task learning
objective and a novel emotion-distance weighted loss function. Our framework
yields significant improvements for a range of chit-chat ERC models on EmoWOZ,
a large-scale dataset for user emotion in ToDs. We further investigate the
generalisability of the best resulting model to predict user satisfaction in
different ToD datasets. A comparison with supervised baselines shows a strong
zero-shot capability, highlighting the potential usage of our framework in
wider scenarios.Comment: Accepted by SIGDIAL 202
EmoUS: Simulating User Emotions in Task-Oriented Dialogues
Existing user simulators (USs) for task-oriented dialogue systems only model
user behaviour on semantic and natural language levels without considering the
user persona and emotions. Optimising dialogue systems with generic user
policies, which cannot model diverse user behaviour driven by different
emotional states, may result in a high drop-off rate when deployed in the real
world. Thus, we present EmoUS, a user simulator that learns to simulate user
emotions alongside user behaviour. EmoUS generates user emotions, semantic
actions, and natural language responses based on the user goal, the dialogue
history, and the user persona. By analysing what kind of system behaviour
elicits what kind of user emotions, we show that EmoUS can be used as a probe
to evaluate a variety of dialogue systems and in particular their effect on the
user's emotional state. Developing such methods is important in the age of
large language model chat-bots and rising ethical concerns.Comment: accepted by SIGIR202
CAMELL: Confidence-based Acquisition Model for Efficient Self-supervised Active Learning with Label Validation
Supervised neural approaches are hindered by their dependence on large,
meticulously annotated datasets, a requirement that is particularly cumbersome
for sequential tasks. The quality of annotations tends to deteriorate with the
transition from expert-based to crowd-sourced labelling. To address these
challenges, we present \textbf{CAMELL} (Confidence-based Acquisition Model for
Efficient self-supervised active Learning with Label validation), a pool-based
active learning framework tailored for sequential multi-output problems. CAMELL
possesses three core features: (1) it requires expert annotators to label only
a fraction of a chosen sequence, (2) it facilitates self-supervision for the
remainder of the sequence, and (3) it employs a label validation mechanism to
prevent erroneous labels from contaminating the dataset and harming model
performance. We evaluate CAMELL on sequential tasks, with a special emphasis on
dialogue belief tracking, a task plagued by the constraints of limited and
noisy datasets. Our experiments demonstrate that CAMELL outperforms the
baselines in terms of efficiency. Furthermore, the data corrections suggested
by our method contribute to an overall improvement in the quality of the
resulting datasets
Unknotting numbers of 2-spheres in the 4-sphere
We compare two naturally arising notions of unknotting number for 2-spheres
in the 4-sphere: namely, the minimal number of 1-handle stabilizations needed
to obtain an unknotted surface, and the minimal number of Whitney moves
required in a regular homotopy to the unknotted 2-sphere. We refer to these
invariants as the stabilization number and the Casson-Whitney number of the
sphere, respectively. Using both algebraic and geometric techniques, we show
that the stabilization number is bounded above by one more than the
Casson-Whitney number. We also provide explicit families of spheres for which
these invariants are equal, as well as families for which they are distinct.
Furthermore, we give additional bounds for both invariants, concrete examples
of their non-additivity, and applications to classical unknotting number of
1-knots.Comment: 29 pages, 22 figures; v2 is the final draft which has been accepted
for publication in Journal of Topology; v2 includes improvements to the
exposition, the numbering of the theorems in the introduction and in some of
the subsequent sections has change
Homotopy classification of 4-manifolds with finite abelian 2-generator fundamental groups
We show that for an oriented 4-dimensional Poincar\'e complex with finite fundamental group, whose 2-Sylow subgroup is abelian with at most 2 generators, the homotopy type is determined by its quadratic 2-type